Advertisement

Configuration and Control of Storages in Distribution Networks

  • Donato Zarrilli
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

In this chapter, the potential of applying ESS for facilitating the integration of renewables into electric power systems is presented. In particular, the possibility of using ESSs for mitigating over- and undervoltages in LV networks is investigated. Moreover, different algorithms for both planning and operation of such innovative devices are proposed.

References

  1. 1.
    Giannitrapani A, Paoletti S, Vicino A, Zarrilli D (2015) Algorithms for placement and sizing of energy storage systems in LV networks. In: Proceedings of IEEE conference on decision and control, pp 3945–3950Google Scholar
  2. 2.
    Giannitrapani A, Paoletti S, Vicino A, Zarrilli D (2017) Optimal allocation of energy storage systems for voltage control in LV distribution networks. IEEE Trans Smart Grid 8(6):2859–2870CrossRefGoogle Scholar
  3. 3.
    Zarrilli D, Giannitrapani A, Paoletti S, Vicino A (2016) Receding horizon voltage control in LV networks with energy storage. In: Proceedings of IEEE conference on decision and control, pp 7496–7501Google Scholar
  4. 4.
    Zarrilli D, Giannitrapani A, Paoletti S, Vicino A (2018) Energy storage operation for voltage control in distribution networks: a receding horizon approach. IEEE Trans Control Syst Technol 26(2):599–609CrossRefGoogle Scholar
  5. 5.
    Xu T, Taylor PC (2008) Voltage control techniques for electrical distribution networks including distributed generation. In: Proceedings of IFAC world congress, pp 11,967–11,971Google Scholar
  6. 6.
    Procopiou AT, Long C, Ochoa LF (2014) Voltage control in LV networks: an initial investigation. In: Proceedings of IEEE PES innovative smart grid technologies European conference, pp 1–6Google Scholar
  7. 7.
    Tuominen J, Repo S, Kulmala A (2014) Comparison of the low voltage distribution network voltage control schemes. In: Proceedings of IEEE PES innovative smart grid technologies European conferenceGoogle Scholar
  8. 8.
    Long C, Ochoa LF (2015) Voltage control of PV-rich LV networks: OLTC-fitted transformer and capacitor banks. IEEE Trans Power Syst 1–10Google Scholar
  9. 9.
    Wang L, Liang DH, Crossland AF, Taylor PC, Jones D, Wade NS (2015) Coordination of multiple energy storage units in a low-voltage distribution network. IEEE Trans Smart Grid 6(6):2906–2918CrossRefGoogle Scholar
  10. 10.
    Nazaripouya H, Wang Y, Chu P, Pota HR, Gadh R (2015) Optimal sizing and placement of battery energy storage in distribution system based on solar size for voltage regulation. In: Proceedings of IEEE PES general meeting, pp 1–5Google Scholar
  11. 11.
    Nazaripouya H, Wang Y, Chu P, Pota HR, Gadh R (2015) Optimal siting and sizing of distributed energy storage systems via alternating direction method of multipliers. Int J Electr Power Energy Syst 72:33–39CrossRefGoogle Scholar
  12. 12.
    U.S. Department of Energy (2016) Grid energy storage. http://energy.gov/oe/downloads/grid-energy-storage-december-2013. Accessed 27 Apr 2016
  13. 13.
    Int. Electrotechnical Commission (2016) Electrical energy storage. http://www.iec.ch/whitepaper/pdf/iecWP-energystorage-LR-en.pdf. Accessed 27 Apr 2016
  14. 14.
    Zarrilli D, Vicino A, Mancarella P (2016) Sharing energy resources in distribution networks: an initial investigation through OPF studies. In: Proceedings of IEEE PES innovative smart grid technologies asian conference, pp 306–311Google Scholar
  15. 15.
    Saint-Pierre A, Mancarella P Active distribution system management: a dual-horizon scheduling framework for dso/tso interface under uncertainty. IEEE Trans Smart Grid, to appearGoogle Scholar
  16. 16.
    Pandzic H, Wang Y, Qiu T, Dvorkin Y, Kirschen DS (2015) Near-optimal method for siting and sizing of distributed storage in a transmission network. IEEE Trans Power Syst 30(5):2288–2300CrossRefGoogle Scholar
  17. 17.
    Zidar M, Georgilakis PS, Hatziargyriou ND, Capuder T, Škrlec D (2016) Review of energy storage allocation in power distribution networks: applications, methods and future research. IET Gener Transm Distrib 10(3):645–652CrossRefGoogle Scholar
  18. 18.
    Hoffman M, Kintner-Meyer M, DeSteese J, Sadovsky A (2011) Analysis tools for sizing and placement of energy storage in grid applications. In: Proceedings of ASME international conference on energy sustainability, pp 1565–1573Google Scholar
  19. 19.
    Bucciarelli M, Giannitrapani A, Paoletti S, Vicino A, Zarrilli D (2016) Energy storage sizing for voltage control in LV networks under uncertainty on PV generation. In: Proceedings of IEEE international forum on research and technologies for society and industry leveraging a better tomorrow, pp 1–6Google Scholar
  20. 20.
    Zhao H, Wu Q, Huang S, Guo Q, Sun H, Xue Y (2015) Optimal siting and sizing of energy storage system for power systems with large-scale wind power integration. In: Proceedings of IEEE PowerTech Eindhoven, pp 1–6Google Scholar
  21. 21.
    Thrampoulidis C, Bose S, Hassibi B (2016) Optimal placement of distributed energy storage in power networks. IEEE Trans Autom Control 61(2):416–429MathSciNetCrossRefGoogle Scholar
  22. 22.
    Wogrin S, Gayme DF (2015) Optimizing storage siting, sizing, and technology portfolios in transmission-constrained networks. IEEE Trans Power Syst 30(6):3304–3313CrossRefGoogle Scholar
  23. 23.
    Ghofrani M, Arabali A, Etezadi-Amoli M, Fadali MS (2013) A framework for optimal placement of energy storage units within a power system with high wind penetration. IEEE Trans Sustain Energy 4(2):434–442CrossRefGoogle Scholar
  24. 24.
    Taylor JA, Hover FS (2012) Convex models of distribution system reconfiguration. IEEE Trans Power Syst 27(3):1407–1413CrossRefGoogle Scholar
  25. 25.
    Nick M, Cherkaoui R, Paolone M (2014) Optimal allocation of dispersed energy storage systems in active distribution networks for energy balance and grid support. IEEE Trans Power Syst 29(5):2300–2310CrossRefGoogle Scholar
  26. 26.
    Bose S, Gayme DF, Topcu U, Chandy KM (2012) Optimal placement of energy storage in the grid. In: Proceedings of IEEE conference on decision and control, pp 5605–5612Google Scholar
  27. 27.
    Gayme D, Topcu U (2013) Optimal power flow with large-scale storage integration. IEEE Trans Power Syst 28(2):709–717CrossRefGoogle Scholar
  28. 28.
    Torchio M, Magni L, Raimondo D (2015) A mixed integer SDP approach for the optimal placement of energy storage devices in power grids with renewable penetration. In: Proceedings of American control conference, pp 3892–3897Google Scholar
  29. 29.
    Torchio M, Magni L, Raimondo D (2015) On the effects of monitoring and control settings on voltage control in PV-rich LV networks. In: Proceedings of IEEE PES general meeting, pp 1–5Google Scholar
  30. 30.
    Lavaei J, Low SH (2012) Zero duality gap in optimal power flow problem. IEEE Trans Power Syst 27(1):92–107CrossRefGoogle Scholar
  31. 31.
    Low SH (2014) Convex relaxation of optimal power flow-Part I: formulations and equivalence. IEEE Trans Control Netw Syst 1(1):15–27MathSciNetCrossRefGoogle Scholar
  32. 32.
    Gan L, Low SH (2014) Convex relaxations and linear approximation for optimal power flow in multiphase radial networks. In: Proceedings of power systems computation conference, pp 1–9Google Scholar
  33. 33.
    Gan L, Low SH (2014) Convex relaxation of optimal power flow-Part II: exactness. IEEE Trans Control Netw Syst 1(2):177–189MathSciNetCrossRefGoogle Scholar
  34. 34.
    Jabr RA, Karaki S, Korbane JA (2015) Robust multi-period OPF with storage and renewables. IEEE Trans Power Syst 30(5):2790–2799CrossRefGoogle Scholar
  35. 35.
    Brenna M, De Berardinis E, Delli Carpini L, Foiadelli F, Paulon P, Petroni P, Sapienza G, Scrosati G, Zaninelli D (2013) Automatic distributed voltage control algorithm in smart grids applications. IEEE Trans Smart Grid 4(2):877–885CrossRefGoogle Scholar
  36. 36.
    Nascimento MC, De Carvalho AC (2011) Spectral methods for graph clustering-a survey. Eur J Oper Res 211(2):221–231MathSciNetCrossRefGoogle Scholar
  37. 37.
    Hespanha JP (2016) An efficient MATLAB algorithm for graph partitioning. http://www.ece.ucsb.edu/~hespanha/published/tr-ell-gp.pdf. Accessed 27 Apr 2016
  38. 38.
    Malysz P, Sirouspour S, Emadi A (2014) An optimal energy storage control strategy for grid-connected microgrids. IEEE Trans Smart Grid 5(4):1785–1796CrossRefGoogle Scholar
  39. 39.
    Parisio A, Rikos E, Glielmo L (2014) A model predictive control approach to microgrid operation optimization. IEEE Trans Control Syst Technol 22(5):1813–1827CrossRefGoogle Scholar
  40. 40.
    Valverde G, Van Cutsem T (2013) Model predictive control of voltages in active distribution networks. IEEE Trans Smart Grid 4(4):2152–2161CrossRefGoogle Scholar
  41. 41.
    Farina M, Guagliardi A, Mariani F, Sandroni C, Scattolini R (2015) Model predictive control of voltage profiles in MV networks with distributed generation. Control Eng Pract 34:18–29CrossRefGoogle Scholar
  42. 42.
    Maciejowski JM (2002) Predictive control with constraints. Pearson EducationGoogle Scholar
  43. 43.
    Dows R, Gough E (1995) PVUSA procurement, acceptance, and rating practices for photovoltaic power plants. Pacific Gas and Electric Company, San Ramon, CA, Technical ReportGoogle Scholar
  44. 44.
    Bianchini G, Paoletti S, Vicino A, Corti F, Nebiacolombo F (2013) Model estimation of photovoltaic power generation using partial information. In: Proceedings of IEEE PES innovative smart grid technologies European conferenceGoogle Scholar
  45. 45.
    Reikard G (2009) Predicting solar radiation at high resolutions: a comparison of time series forecasts. Sol Energy 83:342–349CrossRefGoogle Scholar
  46. 46.
    Wu J, Chan C (2011) Prediction of hourly solar radiation using a novel hybrid model. Sol Energy 85:808–817CrossRefGoogle Scholar
  47. 47.
    Pepe D, Bianchini G, Vicino A (2016) Model estimation for PV generation forecasting using cloud cover information. In: Proceedings of IEEE international energy conference, pp 1–6Google Scholar
  48. 48.
    Garulli A, Paoletti S, Vicino A (2015) Models and techniques for electric load forecasting in the presence of demand response. IEEE Trans Control Syst Technol 23(3):1087–1097CrossRefGoogle Scholar
  49. 49.
    Box GEP, Jenkins GM, Reinsel GC (2008) Time series analysis: forecasting and control, 4th edn. WileyGoogle Scholar
  50. 50.
    Grant M, Boyd S (2016) CVX: Matlab software for disciplined convex programming, version 2.1. http://cvxr.com/cvx. Accessed 27 Apr 2016
  51. 51.
    Sturm J (1999) Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones. Optim Methods Softw 11(1–4):625–653MathSciNetCrossRefGoogle Scholar
  52. 52.
    Kersting W (1991) Radial distribution test feeders. IEEE Trans Power Syst 6(3):975–985CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Dipartimento di Ingegneria dell’Informazione e Scienze MatematicheUniversità di SienaSienaItaly

Personalised recommendations