Abstract
The massive connection of renewable and distributed generation and the electrification of other sectors give rise to new challenges and opportunities that call for an adaption of the traditional Volt/var control schemes. Recently introduced cosφ(P)- and Q(U)-control of photovoltaic inverters and on-load tap changers in distribution substations to mitigate voltage limit violations provoke massive technical and social problems. This chapter conducts a comprehensive and systematic holistic study to analyse the Volt/var behaviour on the medium- and low voltage levels, focusing on high-medium and medium-low voltage grid boundaries. The recently emerged and newly introduced control strategies are considered. Their evaluation shows that the X(U)-control in radial structures combined with Q-Autarkic customer plants maintains voltage limits reliably, effectively, and efficiently, while preserving the interests of all involved stakeholders. It also clarifies that voltage limits do not remain constant throughout the day, introducing the concept of "boundary voltage limits" for the first time. Additional, practical modelling steps are suggested.
Simplicity is the ultimate sophistication.
—Leonardo da Vinci
*Author: Daniel-Leon Schultis and Albana Ilo
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Machine-side VSC, DC link capacitor, and grid-side VSC.
- 2.
Series reactive power contribution is sometimes used in distribution level to secure the supply of factories against voltage dips [79].
- 3.
These constraints apply exclusively to the boundary node between Grid-Link_1 and Grid-Link_2.
- 4.
RDPs are commonly used in industrial CPs.
- 5.
Positive algebraic sign for reactive power absorptions.
- 6.
The following parameters that correspond to a LV overhead line with a length of 100 m are used: Unom = 230 V, R = 0.03264 Ω, X = 0.03557 Ω.
- 7.
Positive algebraic sign for active power injection and reactive power absorption.
References
Alassi A, Bañales S, Ellabban O, Adam G, MacIver C (2019) HVDC Transmission: technology review, market trends and future outlook. Renew Sustain Energy Rev 112:530–554
Albarracín R, Alonso M (2013) Photovoltaic reactive power limits. In: 12th international conference on environment and electrical engineering, Wroclaw, Poland, 5–8 May, pp 13–18. https://doi.org/10.1109/EEEIC.2013.6549630
Alla M, Guzman A, Finney D, Fischer N (2018) Capability curve-based generator protection minimizes generator stress and maintains power system stability. In: 45th annual western protective relay conference, Spokane, WA, USA, 16–18 October, pp 1–16
Arif A, Wang Z, Wang J, Mather B, Bashualdo H, Zhao D (2018) Load modeling—a review. IEEE Trans Smart Grid 9(6):5986–5999. https://doi.org/10.1109/TSG.2017.2700436
Arrillaga J, Yonghe HL, Neville RW, Nicholas JM (2009) Self-commutated converters for high power applications. Wiley, New Jersey
Aunedi M, Woolf M, Strbac G, Babalola O, Clark M (2015). Characteristic demand profiles of residential and commercial EV Users and opportunities for smart charging. In: 23rd international conference on electricity distribution, Lyon, France, 15–18 June, 1088
Belvin RC, Short TA (2012) Voltage reduction results on a 24-kV circuit. In: IEEE PES transmission and distribution conference and exposition, Orlando, FL, USA, 7–10 May, pp 1–4. https://doi.org/10.1109/TDC.2012.6281592
Binder A (2012) Elektrische maschinen und antriebe: grundlagen, betriebsverhalten. Springer, Heidelberg
Bletterie B, Goršek A, Uljanić B, Blazic B, Woyte A, Vu Van T, Truyens F, Jahn J (2010) Enhancement of the network hosting capacity—clearing space for/with PV. In: 25th European photovoltaic solar energy conference and exhibition/5th world conference on photovoltaic energy conversion, Valencia, Spain, 6–10 September, pp 4828–4834. https://doi.org/10.4229/25thEUPVSEC2010-5AO.7.3
Bokhari A, Alkan A, Dogan R, Diaz-Aguiló M, de León F, Czarkowski D, Zabar Z, Birenbaum L, Noel A, Uosef RE (2014) Experimental determination of the ZIP coefficients for modern residential, commercial, and industrial loads. Trans Power Delivery 29(3):1372–1381. https://doi.org/10.1109/TPWRD.2013.2285096
Bollen MHJ, Sannino A (2005) Voltage control with inverter-based distributed generation. IEEE Trans Power Delivery 20(1):519–520. https://doi.org/10.1109/TPWRD.2004.834679
CIGRE Task Force C6.04 (2014a) Benchmark systems for network integration of renewable and distributed energy resources
CIGRE Working Group C4.605 (2014b) Modelling and aggregation of loads in flexible power networks
Carden J, Popovic D (2018) Closed-loop volt\/var optimization: addressing peak load reduction. IEEE Power Energ Mag 16(2):67–75. https://doi.org/10.1109/MPE.2017.2780962
Chen H, Cong TN, Yang W, Tan C, Li Y, Ding Y (2009) Progress in electrical energy storage system: a critical review. Prog Nat Sci 19(3):291–312. https://doi.org/10.1016/j.pnsc.2008.07.014
Choi J, Moon S (2009) The dead band control of LTC transformer at distribution substation. IEEE Trans Power Syst 24(1):319–326. https://doi.org/10.1109/TPWRS.2008.2005706
Choi W, Wu Y, Han D, Gorman J, Palavicino PC, Lee W, Sarlioglu B (2017) Reviews on grid-connected inverter, utility-scaled battery energy storage system, and vehicle-to-grid application - challenges and opportunities. In: 2017 IEEE transportation electrification conference and expo (ITEC), Chicago, IL, USA, 22–24 June, pp 203–210
Collin AJ, Tsagarakis G, Kiprakis AE, McLaughlin S (2014) Development of low-voltage load models for the residential load sector. IEEE Trans Power Syst 29(5):2180–2188. https://doi.org/10.1109/TPWRS.2014.2301949
Corsi S, Pozzi M, Sabelli C, Serrani A (2004) The coordinated automatic voltage control of the Italian transmission grid-part I: reasons of the choice and overview of the consolidated hierarchical system. IEEE Trans Power Syst 19(4):1723–1732. https://doi.org/10.1109/TPWRS.2004.836185
Dabic V, Atanackovic D (2015) Voltage VAR optimization real time closed loop deployment—BC hydro challenges and opportunities. In: 2015 IEEE PES general meeting, Denver, CO, USA, 26–30 July, pp 1–5. https://doi.org/10.1109/PESGM.2015.7286313
Demirok E, González PC, Frederiksen KHB, Sera D, Rodriguez P, Teodorescu R (2011) Local reactive power control methods for overvoltage prevention of distributed solar inverters in low-voltage grids. IEEE J Photovolt 1(2):174–182. https://doi.org/10.1109/JPHOTOV.2011.2174821
Directive (EU) 2019/944 of the European Parliament and of the Council of 5 June 2019 on common rules for the internal market for electricity and amending directive 2012/27/EU (Text with EEA relevance.). http://data.europa.eu/eli/dir/2019/944/oj. Accessed 13 Apr 2021
Dixon J, Moran L, Rodriguez J, Domke R (2005) Reactive power compensation technologies: state-of-the-art review. Proc IEEE 93(12):2144–2164. https://doi.org/10.1109/JPROC.2005.859937
ENTSO-E (2019) HVDC links in system operations. https://eepublicdownloads.entsoe.eu/clean-documents/SOC%20documents/20191203_HVDC%20links%20in%20system%20operations.pdf. Accessed 13 Apr 2021
EN 50160:2010—Voltage characteristics of electricity supplied by public electricity networks
Engelhardt S, Erlich I, Feltes C, Kretschmann J, Shewarega F (2011) Reactive power capability of wind turbines based on doubly fed induction generators. IEEE Trans Energy Convers 26(1):364–372
Eurelectric (2013) Power distribution in Europe: facts and figures. https://cdn.eurelectric.org/media/1835/dso_report-web_final-2013-030-0764-01-e-h-D66B0486.pdf. Accessed 13 Apr 2021
Farivar M, Zho X, Chen L (2015) Local voltage control in distribution systems: an incremental control algorithm. In: IEEE international conference on smart grid communications, Miami, FL, USA, 2–5 November, pp 732–737. https://doi.org/10.1109/SmartGridComm.2015.7436388
Hingorani NG, Gyugyi L (2000) Understanding FACTS, concepts and technology of flexible AC transmission systems. IEEE Press
Hossain MI, Yan R, Saha TK (2016) Investigation of the interaction between step voltage regulators and large-scale photovoltaic systems regarding voltage regulation and unbalance. IET Renew Power Gener 10(3):299–309. https://doi.org/10.1049/iet-rpg.2015.0086
IEA—International Energy Agency (2020) Electricity generation by source, Europe 1990–2018. https://www.iea.org/data-and-statistics?country=WEOEUR&fuel=Energy%20supply&indicator=ElecGenByFuel. Accessed 13 Apr 2021
Ilo A (2016) Effects of the reactive power injection on the grid—the rise of the volt/var interaction Chain. Smart Grid Renew Energy 7:217–232
Ilo A, Schultis DL (2019) Low-voltage grid behaviour in the presence of concentrated var-sinks and var-compensated customers. Electr Power Syst Res 171:54–65. https://doi.org/10.1016/j.epsr.2019.01.031
Ilo A (2019) Design of the smart grid architecture according to fractal principles and the basics of corresponding market structure. Energies 12:4153
Ilo A, Schultis DL, Schirmer C (2018) Effectiveness of distributed vs. concentrated volt/var local control strategies in low-voltage grids. Appl Sci 8/8:1382. https://doi.org/10.3390/app8081382
Kundur P (1994) Power system stability and control. EPRI, McGraw-Hill, New York
LPF (2020) Load profile generator. https://www.loadprofilegenerator.de/. Accessed 13 Apr 2021
Li Q, Zhang YJ, Ji T, Lin X, Cai Z (2018) Volt/var control for power grids with connections of large-scale wind farms: a review. IEEE Access 6:26675–26692. https://doi.org/10.1109/ACCESS.2018.2832175
Marggraf O, Laudahn S, Engel B, Lindner M, Aigner C, Witzmann R, Schoeneberger M, Patzack S, Vennegeerts H, Cremer M, Meyer M, Schnettler A, Berber I, Bülo T, Brantl J, Wirtz F, Frings R, Pizzutto F (2017) U-control—analysis of distributed and automated voltage control in current and future distribution grids. In: International ETG congress 2017, Bonn, Germany, 28–29 November, pp 567–572
McKenna E, Thomson M (2016) High-resolution stochastic integrated thermal–electrical domestic demand model. Appl Energy 165:445–461. https://doi.org/10.1016/j.apenergy.2015.12.089
McKenna E, Thomson M, Barton J (2015) CREST demand model. Loughborough University. https://repository.lboro.ac.uk/articles/dataset/CREST_Demand_Model_v2_0/2001129/5. Accessed 13 Apr 2021
Neal R (2010) The use of AMI meters and solar PV inverters in an advanced Volt/VAr control system on a distribution circuit. In: IEEE PES transmission and distribution conference and exposition, New Orleans, LA, USA, 19–22 April, pp 1–4. https://doi.org/10.1109/TDC.2010.5484402
Nowak S, Wang L, Metcalfe MS (2020) Two-level centralized and local voltage control in distribution systems mitigating effects of highly intermittent renewable generation. Int J Electr Power Energy Syst 119:105858. https://doi.org/10.1016/j.ijepes.2020.105858
Oeding D, Oswald BR (2011) Elektrische Kraftwerke und Netze. Springer, Heidelberg. https://doi.org/10.1007/978-3-642-19246-3
Peskin MA, Powell PW, Hall EJ (2012) Conservation voltage reduction with feedback from advanced metering infrastructure. In: IEEE PES transmission and distribution conference and exposition, Orlando, FL, USA, 7–10 May, pp 1–8. https://doi.org/10.1109/TDC.2012.6281644
Pflugradt N, Muntwyler U (2017) Synthesizing residential load profiles using behavior simulation. Energy Procedia 122:655–660. https://doi.org/10.1016/j.egypro.2017.07.365
Poliseno MC, Mastromauro RA, Liserre M (2012) Transformer-less photovoltaic (PV) inverters: a critical comparison. In: 2012 IEEE energy conversion congress and exposition, Raleigh, NC, USA, 15–20 September, pp 3438–3445
Preiss RF, Warnock VJ (1978) Impact of voltage reduction on energy and demand. IEEE Trans Power Apparatus Syst PAS-97/5:1665–1671. https://doi.org/10.1109/TPAS.1978.354658
Price WW, Chiang HD, Clark HK, Concordia C, Lee DC, Hsu JC, Ihara S, King CA, Lin CJ, Mansour Y, Srinivasan K, Taylor CW, Vaahedi E (1993) Load representation for dynamic performance analysis (of power systems). IEEE Trans Power Syst 8(2):472–482. https://doi.org/10.1109/59.260837
Riese P (2012) Handbuch der Blindstrom-Kompensation. https://www.frako.com/fileadmin/pdf/Downloads/Handbuch/95-00135_11_13_9066_handbuch_blk.pdf. Accessed 20 May 2021
Rohjans S, Dänekas C, Uslar M (2012) Requirements for smart grid ICT-architectures. In: 3rd IEEE PES innovative smart grid technologies Europe, Berlin, Germany, 14–17 October, pp 1–8. https://doi.org/10.1109/ISGTEurope.2012.6465617
Roytelman I, Ganesan V (2000) Coordinated local and centralized control in distribution management systems. IEEE Trans Power Delivery 15(2):718–724. https://doi.org/10.1109/61.853010
Roytelman I, Ganesan V (1999) Modeling of local controllers in distribution network applications. In: 21st international conference on power industry computer applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351), Santa Clara, CA, USA, 21 May, pp 161–166. https://doi.org/10.1109/PICA.1999.779399
Sarkar MNI, Meegahapola LG, Datta M (2018) Reactive power management in renewable rich power grids: a review of grid-codes, renewable generators, support devices, control strategies and optimization algorithms. IEEE Access 6:41458–41489
Schultis DL (2019) Daily load profiles and ZIP models of current and new residential customers. Mendeley Data. https://doi.org/10.17632/7gp7dpvw6b.1
Schultis DL, Ilo A (2018) TUWien_LV_TestGrids. Mendeley Data. https://doi.org/10.17632/hgh8c99tnx.1
Schultis DL, Ilo A (2019) Behaviour of distribution grids with the highest PV share using the Volt/Var control chain strategy. Energies 12(20):3865. https://doi.org/10.3390/en12203865
Schultis DL, Ilo A (2019a) Adaption of the current load model to consider residential customers having turned to LED lighting. In: 11th IEEE PES Asia-Pacific power and energy engineering conference, Macao, China, 1–4 December, pp 1–5. https://doi.org/10.1109/APPEEC45492.2019.8994535
Schultis DL, Ilo A (2021a) Boundary voltage limits—an instrument to increase the utilization of the existing infrastructures. In: CIRED 2021 conference, Geneva, Switzerland, 20–23 September, 910. (accepted for publication)
Schultis DL, Ilo A (2021b) Increasing the utilization of existing infrastructures by using the newly introduced boundary voltage limits. Energies 14(16) https://doi.org/5106-10.3390/en14165106
Schultis DL, Ilo A (2021c) Effect of individual Volt/var control strategies in LINK-based smart grids with a high photovoltaic Share Energies 14(18) https://doi.org/5641-10.3390/en14185641
Schweiger G, Eckerstorfer LV, Hafner I, Fleischhacker A, Radl J, Glock B, Wastian M, Rößler M, Lettner G, Popper N, Corcoran K (2020) Active consumer participation in smart energy systems. Energy Build 227:110359. https://doi.org/10.1016/j.enbuild.2020.110359
Schürhuber R (2018) Ausgewählte Aspekte des Netzanschlusses von Erzeugungsanlagen. Impulsvortrag am Treffen der CIRED, Vienna, Austria, 30 January. https://cired.at/fileadmin//user_upload/Ausgewaehlte_Aspekte_Netzanschluss_Impulsvortrag_Wien_Prof_Schuerhuber.pdf. Accessed 13 Apr 2021
Shukla A, Verma K, Kumar R (2017) Multi-stage voltage dependent load modelling of fast charging electric vehicle. In: 6th international conference on computer applications in electrical engineering—recent advances, Roorkee, India, 5–7 October, pp 86–91. https://doi.org/10.1109/CERA.2017.8343306
Smith JW, Sunderman W, Dugan R, Seal B (2011) Smart inverter volt/var control functions for high penetration of PV on distribution systems. In: IEEE PES power systems conference and exposition, Phoenix, AZ, USA, 20–23 March, pp 1–6. https://doi.org/10.1109/PSCE.2011.5772598
Sun H, Guo Q, Qi J, Ajjarapu V, Bravo R, Chow J, Li Z, Moghe R, Nasr-Azadani E, Tamrakar U, Taranto GN, Tonkoski R, Valverde G, Wu Q, Yang G (2019) Review of challenges and research opportunities for voltage control in smart grids. IEEE Trans Power Syst 34(4):2790–2801. https://doi.org/10.1109/TPWRS.2019.2897948
Teodorescu R, Liserre M, Rodríguez P (2007) Grid converters for photovoltaic and wind power sytems. Wiley, IEEE Press
Tian J, Su C, Chen Z (2013) Reactive power capability of the wind turbine with doubly fed induction generator. In: 39th annual conference of the IEEE industrial electronics society, Vienna, Austria, 10–13 November, pp 5312–5317. https://doi.org/10.1109/IECON.2013.6699999
Tonkoski R, Lopes LAC (2011) Impact of active power curtailment on overvoltage prevention and energy production of PV inverters connected to low voltage residential feeders. Renew Energy 36(12):3566–3574. https://doi.org/10.1016/j.renene.2011.05.031
Turitsyn K, Sulc P, Backhaus S, Chertkov M (2011) Options for control of reactive power by distributed photovoltaic generators. Proc IEEE 99(6):1063–1073. https://doi.org/10.1109/JPROC.2011.2116750
Vittal V, McCalley JD, Anderson PM, Fouad AA (2019) Power system control and stability. Wiley, New Jersey
Walker JH (1953) Operating characteristics of salient-pole machines. IEE Part II Power Eng 100(73):13–24. https://doi.org/10.1049/pi-2.1953.0004
Wang W, Lu Z (2013) Cyber security in the smart grid: survey and challenges. Comput Netw 57(5):1344–1371. https://doi.org/10.1016/j.comnet.2012.12.017
Wang YB, Wu CS, Liao H, Xu HH (2008) Steady-state model and power flow analysis of grid-connected photovoltaic power system. In: IEEE international conference on industrial technology, Chengdu, China, 21–24 April, pp 1–6. https://doi.org/10.1109/ICIT.2008.4608553
Wilson TL, Bell DG (2004) Energy conservation and demand control using distribution automation technologies. In: Rural electric power conference, Scottsdale, AZ, USA, 25 May, pp C4–1. doi:https://doi.org/10.1109/REPCON.2004.1307059
Xu H, Liu W, Wang L, Li M, Zhang J (2015) Optimal sizing of small hydro power plants in consideration of voltage control. In: International symposium on smart electric distribution systems and technologies, Vienna, Austria, 8–11 September, pp 165–172. https://doi.org/10.1109/SEDST.2015.7315201
Xu S, Wang S, Zuo G, Davidson C, Oliveira M, Memisevic R, Pilz G, Donmez B, Andersen B (2019) Application examples of STATCOM. In: Andersen B, Nilsson SL (eds) Flexible AC transmission systems. CIGRE green books. Springer, Cham. https://doi.org/10.1007/978-3-319-71926-9_13-1
Zeadally S, Pathan ASK, Alcaraz C, Badra M (2013) Towards privacy protection in smart grid. Wirel Pers Commun 73(1):1–22. https://doi.org/10.1007/s11277-012-0939-1
Zhang XP, Rehtanz C, Pal B (2006) Flexible AC transmission systems: modelling and control. Springer, Heidelberg
Zhang F, Guo X, Chang X, Fan G, Chen L, Wang Q, Tang Y, Dai J (2017) The reactive power voltage control strategy of PV systems in low-voltage string lines. In: IEEE manchester powertech, Manchester, UK, 18–22 June 2017, pp 1–6. https://doi.org/10.1109/PTC.2017.7980995
Zhou X, Farivar M, Liu Z, Chen L, Low SH (2021) Reverse and forward engineering of local voltage control in distribution networks. IEEE Trans Autom Control 66(3):1116–1128. https://doi.org/10.1109/TAC.2020.2994184
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix
A.4.1 Behaviour of Different Link-Grids
This appendix catalogues the simulated behaviour of all Link-Grids listed in Table 4.5 under different Volt/var control strategies and for the case without any Volt/var control. The rural residential CP_Link-Grid and the rural LV_Link-Grid are calculated for both spiky and smooth load profiles at the CP level. Meanwhile, all other Link-Grids are simulated only for the smoothed load profiles.
4.2.1 A.4.1.1 Spiky Load Profiles
CP level
Rural residential CP_Link-Grid connected to LV level
The model of the rural residential CP_Link-Grid is specified in Fig. 4.95; Its behaviour without any Volt/var control is depicted in Fig. 4.96; And its behaviour with the different Volt/var controls is shown in Fig. 4.97. Furthermore, Fig. 4.98 presents the behaviour of the rural residential CP_Link-Grid for cases A, B, and C.
CP structure | Equivalent device model | SMPS, motors, resistive, lighting |
Producer model | One photovoltaic system | |
Storage model | One electric vehicle charger | |
Equivalent device model | Daily energy consumption | 4.25 kWh |
Max. active power consumption | 4.46 kW | |
Max. reactive power consumption | 0.65 kvar | |
Max. reactive power production | 0.16 kvar | |
ZIP coefficients | Time-invariant | |
References | ||
Producer model | Daily energy production | 23.14 kWh |
Max. active power production | 5.00 kW | |
Reactive power contribution | According to Volt/var control strategy | |
References | [41] | |
Storage model | Daily energy consumption | 1.85 kWh |
Max. active power consumption | 3.7 kW | |
ZIP coefficients | Time-invariant | |
References |
Control strategy | \(Q_{t}^{LV - CP}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −0.0044 | 0.0182 | −0.0131 |
cosφ(P) | −0.0044 | 2.4395 | −0.0131 |
Q(U) | 1.2056 | −1.1918 | −0.0131 |
CP_Q-Autarky | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{t}^{CP - Dev}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −0.0044 | 0.0182 | −0.0131 |
cosφ(P) | −0.0044 | 0.0182 | −0.0131 |
Q(U) | −0.0044 | 0.0182 | −0.0131 |
CP_Q-Autarky | −0.0044 | 0.0182 | −0.0131 |
Control strategy | \(Q_{t}^{CP - Pr}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0000 | 0.0000 | 0.0000 |
cosφ(P) | 0.0000 | 2.4213 | 0.0000 |
Q(U) | 1.2100 | −1.2100 | 0.0000 |
CP_Q-Autarky | 0.0044 | −0.0182 | 0.0131 |
LV level
Rural LV_Link-Grid
The model of the rural LV_Link-Grid is specified in Fig. 4.99; Its behaviour without any Volt/var control is depicted in Figs. 4.100 and 4.101; And its behaviour with the different Volt/var controls is shown in Figs. 4.102 to 4.104. Furthermore, Figs. 4.105 to 4.107 present the behaviour of the rural LV_Link-Grid for cases A, B, and C.
DTR | Rating: | 400 kVA | ||
Nominal voltage | Primary | 21.0 kV | ||
Secondary | 0.42 kV | |||
Short circuit voltage | Total | 3.7% | ||
Resistive part | 1.0% | |||
Feeders | Nominal voltage | 0.4 kV | ||
Number of feeders | 4 | |||
Total line length | 6.335 km | |||
Total cable share | 58.64% | |||
Feeder length | Maximal | 1.630 km | ||
Minimal | 0.565 km | |||
Control parameters | OLTC | Upper voltage limit | 0.990 p.u | |
Lower voltage limit | 0.950 p.u | |||
Min./mid/max. tap positions | 1/3/5 | |||
Additional voltage per tap | 2.5% | |||
X(U) | Upper voltage limit | 1.09 p.u | ||
Lower voltage limit | 0.91 p.u | |||
Connected lumped models | Link-Grids | CP | Residential with spiky load profiles | 61 |
Control strategy | \(Q_{t}^{MV - LV}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 1.1849 | 23.7847 | 3.7581 |
cosφ(P) | 1.1849 | 178.2922 | 3.7581 |
Q(U) | 37.8057 | 36.1168 | 3.7581 |
X(U) | 1.1849 | 23.7847 | 3.7583 |
X(U)+ | −0.1576 | 16.6295 | 0.0536 |
OLTC | 1.0427 | 23.4057 | 3.5752 |
OLTC+ | −0.1403 | 16.6295 | 0.0682 |
Control strategy | \(Q_{\Sigma ,t}^{LV - CP}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 1.3421 | 7.0678 | 3.6998 |
cosφ(P) | 1.3421 | 154.0554 | 3.6998 |
Q(U) | 37.6942 | 19.1260 | 3.6998 |
X(U) | 1.3421 | 7.0678 | 3.6998 |
X(U)+ | 0.0000 | 0.0000 | 0.0000 |
OLTC | 1.1826 | 7.4946 | 3.5024 |
OLTC+ | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{\Sigma ,t}^{LV}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −0.1572 | 16.7169 | 0.0585 |
cosφ(P) | −0.1572 | 24.2372 | 0.0585 |
Q(U) | 0.1115 | 16.9907 | 0.0585 |
X(U) | −0.1572 | 16.7169 | 0.0585 |
X(U)+ | −0.1576 | 16.6295 | 0.0536 |
OLTC | −0.1399 | 15.9111 | 0.0729 |
OLTC+ | −0.1403 | 16.6295 | 0.0682 |
Control strategy | \(\Delta P_{t}^{LV}\) (kW) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0250 | 17.1154 | 0.2402 |
cosφ(P) | 0.0250 | 24.9791 | 0.2402 |
Q(U) | 0.2931 | 17.6844 | 0.2402 |
X(U) | 0.0250 | 17.1154 | 0.2402 |
X(U)+ | 0.0245 | 17.0116 | 0.2350 |
OLTC | 0.0254 | 16.3134 | 0.2475 |
OLTC+ | 0.0250 | 17.0116 | 0.2426 |
Control strategy | \(Loading_{t}^{DTR}\)(%) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 1.9979 | 68.0621 | 7.2600 |
cosφ(P) | 1.9979 | 80.9169 | 7.2600 |
Q(U) | 9.2271 | 68.3151 | 7.2600 |
X(U) | 1.9979 | 68.0621 | 7.2600 |
X(U)+ | 1.9786 | 67.9281 | 7.2011 |
OLTC | 1.9188 | 68.1371 | 7.1809 |
OLTC+ | 1.9033 | 67.9281 | 7.1269 |
4.2.2 A.4.1.2 Smoothed Load Profiles
CP level
Rural residential CP_Link-Grid connected to LV level
The model of the rural residential CP_Link-Grid is specified in Fig. 4.108; Its behaviour without any Volt/var control is depicted in Fig. 4.109; And its behaviour with the different Volt/var controls is shown in Fig. 4.110. Furthermore, Fig. 4.111 present the behaviour of the rural residential CP_Link-Grid for cases A, B, and C.
CP structure | Equivalent device model | SMPS, motors, resistive, lighting |
---|---|---|
Producer model | One photovoltaic system | |
Storage model | One electric vehicle charger | |
Equivalent device model | Daily energy consumption | 20.75 kWh |
Max. active power consumption* | 1.37 kW | |
Max. reactive power consumption | 0.22 kvar | |
Max. reactive power production | 0.07 kvar | |
ZIP coefficients | Time-variant | |
References | [58] | |
Producer model | Daily energy production | 31.37 kWh |
Max. active power production | 5.00 kW | |
Reactive power contribution | According to Volt/var control strategy | |
References | [41] | |
Storage model | Daily energy consumption | 3.51 kWh |
Max. active power consumption | 0.30 kW | |
ZIP coefficients | Time-invariant | |
References |
Control strategy | \(Q_{t}^{LV - CP}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.1791 | 0.1406 | −0.0656 |
cosφ(P) | 0.1791 | 2.5622 | −0.0656 |
Q(U) | 1.3891 | −1.0694 | −0.0656 |
CP_Q-Autarky | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{t}^{CP - Dev}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.1791 | 0.1406 | −0.0656 |
cosφ(P) | 0.1791 | 0.1406 | −0.0656 |
Q(U) | 0.1791 | 0.1406 | −0.0656 |
CP_Q-Autarky | 0.1791 | 0.1406 | −0.0656 |
Control strategy | \(Q_{t}^{CP - Pr}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0000 | 0.0000 | 0.0000 |
cosφ(P) | 0.0000 | 2.4215 | 0.0000 |
Q(U) | 1.2100 | −1.2100 | 0.0000 |
CP_Q-Autarky | -0.1791 | −0.1406 | 0.0656 |
Urban residential CP_Link-Grid connected to LV level.
The model of the urban residential CP_Link-Grid is specified in Fig. 4.112; Its behaviour without any Volt/var control is depicted in Fig. 4.113; And its behaviour with the different Volt/var controls is shown in Fig. 4.114. Furthermore, Fig. 4.115 present the behaviour of the urban residential CP_Link-Grid for cases A, B, and C.
CP structure | Equivalent device model | SMPS, motors, resistive, lighting |
Producer model | One photovoltaic system | |
Storage model | One electric vehicle charger | |
Equivalent device model | Daily energy consumption | 29.73 kWh |
Max. active power consumptiona | 1.96 kW | |
Max. reactive power consumption | 0.32 kvar | |
Max. reactive power production | 0.10 kvar | |
ZIP coefficients | Time-variant | |
References | [58] | |
Producer model | Daily energy production | 31.37 kWh |
Max. active power production | 5.00 kW | |
Reactive power contribution | According to Volt/var control strategy | |
References | [41] | |
Storage model | Daily energy consumption | 3.51 kWh |
Max. active power consumption | 0.30 kW | |
ZIP coefficients | Time-invariant | |
References |
Control strategy | \(Q_{t}^{LV - CP}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.2566 | 0.2015 | −0.0940 |
cosφ(P) | 0.2566 | 2.6230 | −0.0940 |
Q(U) | 1.4666 | −1.0085 | −0.0940 |
CP_Q-Autarky | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{t}^{CP - Dev}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.2566 | 0.2015 | −0.0940 |
cosφ(P) | 0.2566 | 0.2015 | −0.0940 |
Q(U) | 0.2566 | 0.2015 | −0.0940 |
CP_Q-Autarky | 0.2566 | 0.2015 | −0.0940 |
Control strategy | \(Q_{t}^{CP - Pr}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0000 | 0.0000 | 0.0000 |
cosφ(P) | 0.0000 | 2.4215 | 0.0000 |
Q(U) | 1.2100 | −1.2100 | 0.0000 |
CP_Q-Autarky | −0.2566 | −0.2015 | 0.0940 |
Commercial CP_Link-Grid connected to MV level.
The model of the commercial CP_Link-Grid is specified in Fig. 4.116; Its behaviour without any Volt/var control is depicted in Fig. 4.117; And its behaviour with the different Volt/var controls is shown in Fig. 4.118. Furthermore, Fig. 4.119 present the behaviour of the commercial CP_Link-Grid for cases A, B, and C.
CP structure | Equivalent device model | SMPS, motors, resistive, lighting |
---|---|---|
Producer model | One photovoltaic system | |
Storage model | Three electric vehicle chargers | |
Equivalent device model | Daily energy consumption | 690.25 kWh |
Max. active power consumption | 50 kW | |
Power factor | 0.90 inductive | |
ZIP coefficients | Time-invariant | |
References | ||
Producer model | Daily energy production | 313.65 kWh |
Max. active power production | 50 kW | |
Reactive power contribution | According to Volt/var control strategy | |
References | [41] | |
Storage model | Daily energy consumption | 46.03 kWh |
Max. active power consumption | 4.41 kW | |
ZIP coefficients | Time-invariant | |
References |
Control strategy | \(Q_{t}^{MV - CP}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 6.9423 | 19.5685 | 11.3008 |
cosφ(P) | 6.9423 | 43.7842 | 11.3008 |
Q(U) | 19.0423 | 7.4685 | 11.3008 |
CP_Q-Autarky | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{t}^{CP - Dev}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 6.9423 | 19.5685 | 11.3008 |
cosφ(P) | 6.9423 | 19.5685 | 11.3008 |
Q(U) | 6.9423 | 19.5685 | 11.3008 |
CP_Q-Autarky | 6.9423 | 19.5685 | 11.3008 |
Control strategy | \(Q_{t}^{CP - Pr}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0000 | 0.0000 | 0.0000 |
cosφ(P) | 0.0000 | 24.2158 | 0.0000 |
Q(U) | 12.1000 | −12.1000 | 0.0000 |
CP_Q-Autarky | −6.9423 | −19.5685 | −11.3008 |
Industrial CP_Link-Grid connected to MV level
The model of the industrial CP_Link-Grid is specified in Fig. 4.120; Its behaviour without any Volt/var control is depicted in Fig. 4.121; And its behaviour with the different Volt/var controls is shown in Fig. 4.122. Furthermore, Fig. 4.123 present the behaviour of the industrial CP_Link-Grid for cases A, B, and C.
CP structure | Equivalent device model | SMPS, motors, resistive, lighting |
---|---|---|
Producer model | One photovoltaic system | |
Equivalent device model | Daily energy consumption | 118.44 MWh |
Max. active power consumptiona | 8 MW | |
Power factor | 0.90 inductive | |
ZIP coefficients | Time-invariant | |
References | ||
Producer model | Daily energy production | 1.88 MWh |
Max. active power production | 300 kW | |
Reactive power contribution | According to Volt/var control strategy | |
References | [41] |
Control strategy | \(Q_{t}^{MV - CP}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 1676.7231 | 3267.1158 | 1518.3498 |
cosφ(P) | 1676.7231 | 3412.4081 | 1518.3498 |
Q(U) | 1749.3231 | 3194.5158 | 1518.3498 |
CP_Q-Autarky | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{t}^{CP - Dev}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 1676.7231 | 3267.1158 | 1518.3498 |
cosφ(P) | 1676.7231 | 3267.1158 | 1518.3498 |
Q(U) | 1676.7231 | 3267.1158 | 1518.3498 |
CP_Q-Autarky | 1676.7231 | 3267.1158 | 1518.3498 |
Control strategy | \(Q_{t}^{CP - Pr}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0000 | 0.0000 | 0.0000 |
cosφ(P) | 0.0000 | 145.2922 | 0.0000 |
Q(U) | 72.6000 | −72.6000 | 0.0000 |
CP_Q-Autarky | −1676.7231 | −3267.1158 | −1518.3498 |
LV level
Rural LV_Link-Grid
The model of the rural LV_Link-Grid is specified in Fig. 4.124; Its behaviour without any Volt/var control is depicted in Figs. 4.125 and 4.126; And its behaviour with the different Volt/var controls is shown in Figs. 4.127 to 4.129. Furthermore, Figs. 4.130 to 4.132 present the behaviour of the rural LV_Link-Grid for cases A, B, and C.
DTR | Rating: | 400 kVA | ||
Nominal voltage | Primary | 21.0 kV | ||
Secondary | 0.42 kV | |||
Short circuit voltage | Total | 3.7% | ||
Resistive part | 1.0% | |||
Feeders | Nominal voltage | 0.4 kV | ||
Number of feeders | 4 | |||
Total line length | 6.335 km | |||
Total cable share | 58.64% | |||
Feeder length | Maximal | 1.630 km | ||
Minimal | 0.565 km | |||
Control parameters | OLTC | Upper voltage limit | 0.990 p.u | |
Lower voltage limit | 0.950 p.u | |||
Min./mid/max. tap positions | 1/3/5 | |||
Additional voltage per tap | 2.5% | |||
X(U) | Upper voltage limit | 1.09 p.u | ||
Lower voltage limit | 0.91 p.u | |||
Connected lumped models | Link-Grids | CP | Rural residential with smoothed load profiles | 61 |
Control strategy | \(Q_{t}^{MV - LV}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 11.2117 | 24.7847 | −2.5265 |
cosφ(P) | 11.2117 | 179.6204 | −2.5265 |
Q(U) | 26.0203 | 35.2988 | −4.0817 |
X(U) | 11.2117 | 24.7847 | −2.5265 |
X(U)+ | 0.5220 | 15.1919 | 1.1476 |
OLTC | 10.4582 | 24.7847 | −2.0585 |
OLTC+ | 0.5354 | 15.1919 | 1.1833 |
Control strategy | \(Q_{\Sigma ,t}^{LV - CP}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 10.6646 | 9.4851 | −3.6763 |
cosφ(P) | 10.6646 | 156.6212 | −3.6763 |
Q(U) | 25.3810 | 19.7681 | −5.2365 |
X(U) | 10.6646 | 9.4851 | −3.6763 |
X(U)+ | 0.0000 | 0.0000 | 0.0000 |
OLTC | 9.8987 | 9.4851 | −3.2434 |
OLTC+ | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{\Sigma ,t}^{LV}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.5471 | 15.2995 | 1.1498 |
cosφ(P) | 0.5471 | 22.9992 | 1.1498 |
Q(U) | 0.6393 | 15.5307 | 1.1547 |
X(U) | 0.5471 | 15.2995 | 1.1498 |
X(U)+ | 0.5220 | 15.1919 | 1.1476 |
OLTC | 0.5595 | 15.2995 | 1.1850 |
OLTC+ | 0.5354 | 15.1919 | 1.1833 |
Control strategy | \(\Delta P_{t}^{LV}\)(kW) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.7643 | 15.9688 | 1.3885 |
cosφ(P) | 0.7643 | 23.9166 | 1.3885 |
Q(U) | 0.8266 | 16.4398 | 1.3990 |
X(U) | 0.7643 | 15.9688 | 1.3885 |
X(U)+ | 0.7388 | 15.8581 | 1.3859 |
OLTC | 0.7601 | 15.9688 | 1.4179 |
OLTC+ | 0.7356 | 15.8581 | 1.4159 |
Control strategy | \(Loading_{t}^{DTR}\)(%) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 13.7426 | 64.0142 | 18.4742 |
cosφ(P) | 13.7426 | 77.9572 | 18.4742 |
Q(U) | 14.8192 | 64.2656 | 18.4987 |
X(U) | 13.7426 | 64.0142 | 18.4742 |
X(U)+ | 13.5088 | 63.8105 | 18.4553 |
OLTC | 13.0492 | 64.0142 | 18.2095 |
OLTC+ | 12.8352 | 63.8105 | 18.1956 |
Urban LV_Link-Grid
The model of the urban LV_Link-Grid is specified in Fig. 4.133; Its behaviour without any Volt/var control is depicted in Figs. 4.134 and 4.135; And its behaviour with the different Volt/var controls is shown in Figs. 4.136 to 4.138. Furthermore, Figs. 4.139 to 4.141 present the behaviour of the urban LV_Link-Grid for cases A, B, and C.
DTR | Rating: | 800 kVA | ||
Nominal voltage | Primary | 20.0 kV | ||
Secondary | 0.4 kV | |||
Short circuit voltage | Total | 4.0% | ||
Resistive part | 1.0% | |||
Feeders | Nominal voltage | 0.4 kV | ||
Number of feeders | 9 | |||
Total line length | 12.815 km | |||
Total cable share | 96.14% | |||
Feeder length | Maximal | 1.270 km | ||
Minimal | 0.305 km | |||
Control parameters | OLTC | Upper voltage limit | 1.025 p.u | |
Lower voltage limit | 0.950 p.u | |||
Min./mid/max. tap positions | 1/3/5 | |||
Additional voltage per tap | 2.5% | |||
X(U) | Upper voltage limit | 1.09 p.u | ||
Lower voltage limit | 0.91 p.u | |||
Connected lumped models | Link-Grids | CP | Urban residential with smoothed load profiles | 175 |
Control strategy | \(Q_{t}^{MV - LV}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 46.5923 | 72.0637 | −9.8095 |
cosφ(P) | 46.5923 | 512.9641 | −9.8095 |
Q(U) | 75.7565 | 66.6676 | −12.6388 |
X(U) | 46.5923 | 72.0638 | −9.8093 |
X(U)+ | 2.7900 | 33.6598 | 5.1902 |
OLTC | 44.9710 | 72.0637 | −9.8095 |
OLTC+ | 2.8048 | 33.6598 | 5.1902 |
Control strategy | \(Q_{\Sigma ,t}^{LV - CP}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 43.6756 | 38.0601 | −15.0114 |
cosφ(P) | 43.6756 | 459.8271 | −15.0114 |
Q(U) | 72.6505 | 32.7091 | −17.8544 |
X(U) | 43.6756 | 38.0601 | −15.0114 |
X(U)+ | 0.0000 | 0.0000 | 0.0000 |
OLTC | 42.0423 | 38.0601 | −15.0114 |
OLTC+ | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{\Sigma ,t}^{LV}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 2.9167 | 34.0037 | 5.2021 |
cosφ(P) | 2.9167 | 53.1370 | 5.2021 |
Q(U) | 3.1061 | 33.9585 | 5.2156 |
X(U) | 2.9167 | 34.0037 | 5.2021 |
X(U)+ | 2.7900 | 33.6598 | 5.1902 |
OLTC | 2.9287 | 34.0037 | 5.2021 |
OLTC+ | 2.8048 | 33.6598 | 5.1902 |
Control strategy | \(\Delta P_{t}^{LV}\)(kW) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 3.4914 | 34.0481 | 5.7219 |
cosφ(P) | 3.4914 | 53.0728 | 5.7219 |
Q(U) | 3.6255 | 34.0269 | 5.7424 |
X(U) | 3.4914 | 34.0481 | 5.7219 |
X(U)+ | 3.3684 | 33.7011 | 5.7095 |
OLTC | 3.4750 | 34.0481 | 5.7219 |
OLTC+ | 3.3547 | 33.7011 | 5.7095 |
Control strategy | \(Loading_{t}^{DTR}\)(%) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 27.6187 | 87.0541 | 35.3063 |
cosφ(P) | 27.6187 | 108.3297 | 35.3063 |
Q(U) | 28.4914 | 86.9772 | 35.3293 |
X(U) | 27.6188 | 87.0541 | 35.3063 |
X(U)+ | 27.1280 | 86.6339 | 35.2651 |
OLTC | 26.8802 | 87.0541 | 35.3063 |
OLTC+ | 26.4107 | 86.6339 | 35.2651 |
MV level
Small MV_Link-Grid
The model of the small MV_Link-Grid is specified in Fig. 4.142; Its behaviour without any Volt/var control is depicted in Figs. 4.143 and 4.144; And its behaviour with the different Volt/var controls is shown in Figs. 4.145 and 4.146. Furthermore, Figs. 4.147 and 4.148 present the behaviour of the small MV_Link-Grid for cases A, B, and C.
Feeders | Nominal voltage | 20 kV | ||
Number of feeders | 4 | |||
Total line length | 158.46 km | |||
Total cable share | 70.62% | |||
Feeder length | Maximal | 25.90 km | ||
Minimal | 14.82 km | |||
Connected lumped models | Link-Grids | CP | Commercial with smoothed load profiles | 90 |
LV | Rural for smoothed load profiles in CP level | 49 | ||
Urban for smoothed load profiles in CP level | 4 |
Control strategy | \(Q_{t}^{HV - MV}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −3166.4324 | −274.0876 | −3158.5634 |
cosφ(P) | −3166.4324 | 11,546.7229 | −3158.5634 |
Q(U) | −1928.1602 | 1511.9364 | −3710.0295 |
X(U) | −3166.4318 | 248.7131 | −3158.5616 |
X(U)+ | −4477.5800 | −2081.4525 | −3933.1527 |
OLTC | −3212.9555 | −263.6931 | −3145.0208 |
OLTC+ | −4481.5044 | −2784.5875 | −3932.6640 |
Control strategy | \(Q_{\Sigma ,t}^{MV - CP}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 618.4366 | 1853.2531 | 999.4724 |
cosφ(P) | 618.4366 | 3974.8352 | 999.4724 |
Q(U) | 1453.9913 | 1515.7483 | 1001.1713 |
X(U) | 618.4366 | 1848.5563 | 999.4724 |
X(U)+ | 0.0000 | 0.0000 | 0.0000 |
OLTC | 618.9152 | 1853.2941 | 999.5357 |
OLTC+ | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{\Sigma ,t}^{MV - LV}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 727.8706 | 1475.6636 | −147.5860 |
cosφ(P) | 727.8706 | 10,826.4782 | −147.5860 |
Q(U) | 1127.1403 | 3552.6617 | −702.6286 |
X(U) | 727.8711 | 1990.3126 | −147.5842 |
X(U)+ | 36.8124 | 1528.7827 | 78.0662 |
OLTC | 685.6193 | 1484.7638 | −133.5151 |
OLTC+ | 37.5357 | 834.2631 | 79.2284 |
Control strategy | \(Q_{\Sigma ,t}^{MV}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −4512.7396 | −3603.0043 | −4010.4498 |
cosφ(P) | −4512.7396 | −3254.5905 | −4010.4498 |
Q(U) | −4509.2919 | −3556.4736 | −4008.5722 |
X(U) | −4512.7396 | −3590.1558 | −4010.4497 |
X(U)+ | −4514.3924 | −3610.2352 | −4011.2189 |
OLTC | −4517.4900 | −3601.7510 | −4011.0413 |
OLTC+ | −4519.0401 | −3618.8506 | −4011.8923 |
Control strategy | \(\Delta P_{t}^{MV}\) (kW) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 65.6263 | 522.4462 | 125.4512 |
cosφ(P) | 65.6263 | 822.7866 | 125.4512 |
Q(U) | 56.7900 | 546.8396 | 137.9468 |
X(U) | 65.6263 | 527.0487 | 125.4512 |
X(U)+ | 81.2532 | 529.9529 | 134.0752 |
OLTC | 62.9133 | 524.2177 | 124.9212 |
OLTC+ | 78.1092 | 535.3583 | 133.5975 |
Large MV_Link-Grid
The model of the large MV_Link-Grid is specified in Fig. 4.149; Its behaviour without any Volt/var control is depicted in Figs. 4.150 and 4.151; And its behaviour with the different Volt/var controls is shown in Figs. 4.152 and 4.153. Furthermore, Figs. 4.154 and 4.155 present the behaviour of the large MV_Link-Grid for cases A, B, and C.
Feeders | Nominal voltage | 20 kV | ||
Number of feeders | 6 | |||
Total line length | 267.151 km | |||
Total cable share | 74.66% | |||
Feeder length | Maximal | 46.10 km | ||
Minimal | 2.00 km | |||
Connected lumped models | Link-Grids | CP | Commercial with smoothed load profiles | 143 |
Industrial with smoothed load profiles | 2 | |||
LV | Rural for smoothed load profiles in CP level | 45 | ||
Urban for smoothed load profiles in CP level | 11 | |||
Producers | Hydroelectric power plants | 400 kWa | 2 | |
300 kWa | 1 | |||
100 kWa | 11 | |||
60 kWa | 1 |
Control strategy | \(Q_{t}^{HV - MV}\) (kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −2178.3268 | 5323.0076 | −2288.3236 |
cosφ(P) | −2178.3268 | 21,186.5807 | −2288.3236 |
Q(U) | 112.0730 | 6399.8174 | −2589.4373 |
X(U) | −2178.3260 | 5519.1924 | −2288.3210 |
X(U)+ | −7480.6020 | −4754.2448 | −6577.2863 |
OLTC | −2234.5103 | 5326.7501 | −2272.0105 |
OLTC+ | −7484.4610 | −5144.4723 | −6576.9824 |
Control strategy | \(Q_{\Sigma ,t}^{MV - CP}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 4333.0964 | 9521.7222 | 4601.8610 |
cosφ(P) | 4333.0964 | 13,099.2043 | 4601.8610 |
Q(U) | 5899.0375 | 9067.4411 | 4604.0249 |
X(U) | 4333.0964 | 9514.0736 | 4601.8610 |
X(U)+ | 0.0000 | 0.0000 | 0.0000 |
OLTC | 4334.1894 | 9521.7074 | 4601.9296 |
OLTC+ | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(Q_{\Sigma ,t}^{MV - LV}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 1015.8510 | 1887.8723 | −212.1237 |
cosφ(P) | 1015.8510 | 13,708.7961 | −212.1237 |
Q(U) | 1720.6532 | 3389.1906 | −514.2476 |
X(U) | 1015.8518 | 2083.9526 | −212.1211 |
X(U)+ | 54.1633 | 1398.7258 | 109.2150 |
OLTC | 963.1898 | 1891.4090 | −195.2761 |
OLTC+ | 54.9485 | 1011.2246 | 110.7794 |
Control strategy | \(Q_{\Sigma ,t}^{MV}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | −7527.2742 | −6086.5869 | −6678.0609 |
cosφ(P) | −7527.2742 | −5621.4196 | −6678.0609 |
Q(U) | −7507.6177 | −6056.8143 | −6679.2146 |
X(U) | −7527.2742 | −6078.8338 | −6678.0609 |
X(U)+ | −7534.7653 | −6152.9706 | −6686.5013 |
OLTC | −7531.8895 | −6086.3663 | −6678.6640 |
OLTC+ | −7539.4095 | −6155.6969 | −6687.7617 |
Control strategy | \(Q_{\Sigma ,t}^{MV - Pr}\)(kvar) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 0.0000 | 0.0000 | 0.0000 |
cosφ(P) | 0.0000 | 0.0000 | 0.0000 |
Q(U) | 0.0000 | 0.0000 | 0.0000 |
X(U) | 0.0000 | 0.0000 | 0.0000 |
X(U)+ | 0.0000 | 0.0000 | 0.0000 |
OLTC | 0.0000 | 0.0000 | 0.0000 |
OLTC+ | 0.0000 | 0.0000 | 0.0000 |
Control strategy | \(\Delta P_{t}^{MV}\)(kW) | ||
---|---|---|---|
Case A | Case B | Case C | |
None | 83.1072 | 536.9832 | 144.1819 |
cosφ(P) | 83.1072 | 846.0916 | 144.1819 |
Q(U) | 52.6137 | 538.5407 | 149.2351 |
X(U) | 83.1072 | 536.4634 | 144.1819 |
X(U)+ | 121.4523 | 554.7991 | 181.1443 |
OLTC | 81.9192 | 537.2434 | 143.6320 |
OLTC+ | 119.6531 | 572.3173 | 180.3358 |
A.4.2 Volt/var Control Parametrisation
This appendix discusses the Q(U) and OLTC parametrisation impact on the LV_Link-Grid's behaviour in detail.
4.3.1 A.4.2.1 Impact of Q(U) Parametrisation
The Q(U)-control characteristic must be adequately set to widen the \(BVL_{t}^{MV - LV}\) sufficiently, while avoiding unnecessary reactive power flows and oscillations. The maximal impact on the voltage is achieved when all PV inverters connected to the LV_Link-Grid contribute their maximal reactive power, either all in inductive or all in capacitive mode. However, the high reactive power flow increases the grid loss and the loading and propagates up to the superordinate MV_Link-Grid. Therefore, the characteristic should be set with a high slope gradient and a wide dead band to minimise the reactive power flows. But, too high slope gradients may lead to oscillations [39]. Figure 4.156 shows two control characteristics used to analyse the impact of Q(U) parametrisation on the behaviour of the rural LV_Link-Grid: Default and customised. The default characteristic is used in Sect. 4.7 to compare the different Volt/var control strategies and yields the results shown in Fig. 4.66b. The customised characteristic is parametrised to maximise the permissible voltage range at the BLiNMV−LV of the rural LV_Link-Grid for the given scenario while keeping the reactive power flows as low as possible; A higher slope gradient is used in this case.
The methodology used to customise the Q(U)-characteristic is illustrated in Fig. 4.157. The goal is that all PV inverters contribute their maximal reactive power only when voltage limit violations occur. Simulating the scenario with smoothed load profiles defined in Sect. 4.7.2.1 for the customised characteristic yields the upper and lower \(BVL_{t}^{MV - LV}\) shown in Fig. 4.157a. The minimal boundary voltage that leads to upper limit violations within the LV_Link-Grid is 1.03 p.u. and appears at 12:10. Meanwhile, at 18:00 occurs the maximum boundary voltage that leads to lower limit violations, i.e. 0.9125 p.u.
These two points are decisive for the control parametrisation, and the corresponding voltage profiles are shown in Fig. 4.157b. The difference between the MV-LV boundary voltage, which is marked by a grey cross, and the voltage at the feeder beginning, results from the voltage drop over the DTR. Regarding the case with a lower limit violation, the inverters’ capacitive behaviour increases the voltage along the feeders with overhead line share. In contrast, the voltage still decreases at the pure cable feeder due to the high active power consumption. For both cases, the BLiNLV−CP (which are also the connection nodes of the PV systems) with the lowest and highest voltage values are highlighted with green colour. It is clear to see in Fig. 4.157c that all inverters contribute their maximal reactive power (hatched part of the characteristic). When the voltage at the BLiNMV−LV comes closer to its nominal value, no limits are violated, and some of the inverters reduce their var contribution, thus avoiding unnecessary reactive power flows.
The customised Q(U)-characteristic is an idealised case, as the CP power contributions are unknown in reality and vary for each day. But, it enables to theoretically analyse the optimal performance of the control strategy and the impact of its parametrisation on the grid behaviour. Figure 4.158 shows the daily Volt/var behaviour of the rural LV_Link-Grid with Q(U)-control for both characteristics.
In comparison, the customised characteristic allows for higher MV-LV boundary voltages around midday and significantly increases the reactive power flows within a wide area of the voltage–time-plane. However, the inductive and capacitive areas, as well as the \(BVL_{t}^{MV - LV}\), maintain their fundamental shape independently of the exact parametrisation. The reactive power flows over the BLiNMV−LV are compared for both Q(U)-characteristics in Table 4.6.
4.3.2 A.4.2.2 Impact of OLTC Parametrisation
The OLTC maintains the voltage at the secondary bus bar of the DTR within a predefined voltage band, which must be adequately set to guarantee limit compliance at the LV level. The ideal parameters are found for the rural LV_Link-Grid and the defined scenario by excluding the DTR from the grid model, setting the BLiNMV−LV to its secondary bus bar, and calculating the upper and lower \(BVL_{t}^{MV - LV}\) of the resulting model for the case without any Volt/var control, Fig. 4.159.
This analysis shows that no voltage limit violations occur within the LV grid when the secondary voltage stays within 0.95 and 0.99 p.u.; These values represent the adequate OLTC parameters. To study the impact of inadequate parameters, the wider voltage band between 0.94 and 1.00 p.u. is also considered in the following simulations.
The OLTC parametrisation impact is analysed by calculating the lumped model of the rural LV_Link-Grid according to Fig. 4.124 for both settings. Using the adequate OLTC parameters yields the results shown in Fig. 4.160a. The original \(BVL_{t}^{MV - LV}\), i.e. those without any Volt/var control, are shifted mainly in parallel, without affecting the reactive power exchange significantly. When inadequate parameters are used, the \(BVL_{t}^{MV - LV}\) are also shifted in parallel, and additionally, upper and lower limit violation islands occur in the voltage–time-plane, Fig. 4.160b. An increase of the MV-LV boundary voltage eliminates the upper limit violations at the LV level in the upper islands. In the lower ones, a reduction of the boundary voltage eliminates the lower limit violations.
To clarify the limit violation islands’ occurrence, Fig. 4.161 enlarges the limit violation islands and shows the voltage profiles of all feeders of the rural LV_Link-Grid with inadequate OLTC parameters at 18:00 for three different MV-LV boundary voltages: 0.9575 p.u. (case X), 0.9475 p.u. (case Y), and 0.9375 p.u. (case Z).
In case X, the mid-position of the tap (3/5) is sufficient to maintain the voltage at the feeder beginning in the predefined band, which is set between 0.94 and 1.00 p.u. When the MV-LV boundary voltage decreases by 0.01 p.u., the CPs located at the feeder end violate their lower limit, case Y. Meanwhile, the voltage at the feeder beginning is 0.944 p.u., thus no change of the tap position is required. When the MV-LV boundary voltage further decreases, the tap changes its position to 4/5, eliminating the violations of the lower voltage limit, case Z.
A.4.3 Volt/var control evaluation
This appendix provides the detailed definitions of the evaluation criteria used in Sect. 4.8 and the normalisation procedure used to enable their illustration within the evaluation hexagon.
4.4.1 A.4.3.1 Definition of Technical Evaluation Criteria
The technical criteria are calculated for the (U, t)-plane spanned by the simulated time horizon of 24 h and by the MV-LV boundary voltages between 0.9 and 1.1 p.u. (see Fig. 4.79). For brevity, the MV-LV boundary voltage (\(U_{t}^{MV - LV}\)) is denoted just as U in Eqs. (4.49)–(4.52).
Voltage limit violations
The voltage limit violation index (VI) is calculated for the regarded zone within the (U, t)-plane according to Eq. (4.49).
where U and t are the MV-LV boundary voltage and the instant of time, respectively;\(N^{nodes}\) is the total number of LV grid nodes; \(m_{U,t}\) is the number of the LV grid nodes that violate the upper voltage limit; \(n_{U,t}\) is the number of the LV grid nodes that violate the lower voltage limit;\({ }U_{U,t}^{{\overline{viol} ,j}}\) are the voltages of the LV grid nodes that violate the upper voltage limit; \(U_{U,t}^{{\underline{viol} ,j}}\) are the voltages of the LV grid nodes that violate the lower voltage limit; And \(U_{nom}^{LV}\) is the nominal voltage of the LV level.
MV-LV reactive power exchange.
The MV-LV reactive energy exchange (\(E^{Q}\)) is calculated for the regarded (U, t)-plane according to Eq. (4.50) without considering the flow direction.
where \(\Delta t = 10\,{\text{min}}\) is the temporal resolution of the load profiles; And \(Q_{U,t}^{MV - LV}\) is the reactive power flow through the MV-LV boundary node.
Active power loss
The energy loss (\(\Delta E\)) is calculated for the regarded (U, t)-plane according to Eq. (4.51).
where \(\Delta P_{U,t}^{LV}\) is the active power loss within the LV_Link-Grid.
DTR loading
The average DTR loading (\(Loading^{DTR,avg}\)) is calculated for the regarded (U, t)-plane according to Eq. (4.52).
where \(N^{U}\), \(N^{t}\) are the numbers of MV-LV boundary voltages and instants of time, respectively, within the regarded (U,t)-plane.
4.4.2 A.4.3.2 Calculation of the Evaluation Hexagon Data
The evaluation criteria defined in Sect. A.4.3.1 are calculated for each control setup (indexed with c) and both LV_Link-Grids (indexed with g) catalogued in Sect. A.4.1.2. Firstly, the evaluation hexagon is calculated for each LV_Link-Grid separately, and secondly, a common hexagon is calculated to enable the compact presentation of the final evaluation results.
Calculation of the separate hexagons
The technical evaluation criteria are normalised according to Eq. (4.53) to enable their illustration in a common chart. The resulting normalised evaluation criteria lie within the interval [0, 1] and do not have any physical unit.
where \(VI_{c,g}^{norm}\), \(E_{c,g}^{Q,norm}\), \(\Delta E_{c,g}^{norm}\), \(Loading_{c,g}^{DTR,avg,norm}\) are the normalised values of the evaluation criteria of the control setup c and the LV_Link-Grid g (rural or urban).
Calculation of the common hexagon
The results of both LV_Link-Grids are superimposed according to Eq. (4.54) to enable the compact presentation of the evaluation.
where \(VI_{c}^{norm}\), \(E_{c}^{Q,norm}\), \(\Delta E_{c}^{norm}\), \(Loading_{c}^{DTR,avg,norm}\) are the normalised and superimposed values of the evaluation criteria for the control setup c, which are plotted in the common evaluation hexagon.
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Schultis, DL., Ilo, A. (2022). Volt/var Chain Process*. In: A Holistic Solution for Smart Grids based on LINK– Paradigm. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-81530-1_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-81530-1_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-81529-5
Online ISBN: 978-3-030-81530-1
eBook Packages: EnergyEnergy (R0)