Abstract
The penetration of renewable-based converter-interfaced generation and flexible alternating current transmission systems significantly changes properties and dynamic characteristics of modern electric power systems, which leads to the need to take measures to ensure security of their operation. These measures may consist in using the capabilities of new penetrated units or in adapting conventional means. Such adaptation consists in reconfiguration of control systems, development of new systems or approaches to settings determination, which include tuning of automatic voltage regulators with power system stabilizers of conventional synchronous generation. This paper proposes a new approach to tuning of automatic voltage regulators, based on the use of the most complete and reliable information about processes in modern power systems. This approach allows to get settings that are most adequate to practical conditions of operation as part of power systems. For this purpose, the hybrid real-time power system simulator and concept of hybrid modeling are used, and within this paper, and the hybrid modeling tools necessary for the tuning process have been developed. The result of the study is a comprehensive assessment of the reliability of the simulation results obtained using the developed tools, which allows to conclude about the possibility of their application.
Similar content being viewed by others
Abbreviations
- ACS :
-
Automatic control system
- ADC :
-
Analog-to-digital converters
- AVR :
-
Automatic voltage regulator
- CIG :
-
Converter-interfaced generation
- CPU :
-
Central processing unit
- DAC :
-
Digital-analog converter
- EMT :
-
Electromagnetic transient
- EPS :
-
Electric power system
- FACTS :
-
Flexible alternating current transmission system
- HCPAL :
-
Hybrid co-processor of auxiliary load
- HCPES :
-
Hybrid co-processor of excitation system
- HCPMM :
-
Hybrid co-processor of multi-mass shaft model
- HCPPT :
-
Hybrid co-processor of power transformer
- HCPSG :
-
Hybrid co-processor of synchronous generator
- HRTSim :
-
Hybrid real-time power system simulator
- MPU :
-
Microprocessor unit
- NMEE :
-
Normalized maximum estimation error
- NMSE :
-
Normalized mean squared error
- PADC :
-
Processor of analog-to-digital conversion
- PDQ :
-
Processor of dq transformation
- PMB :
-
Physical model of breakers
- PMFS :
-
Physical model of fault switches
- PPCSP :
-
Peripheral processor of control systems and protection,
- PSS :
-
Power system stabilizer
- RTDS :
-
Real-time digital simulator
- SP :
-
Specialized processor
- SwPB :
-
Switching processor of breakers
- SwPFS :
-
Switching processor of fault switches
- SwPTC :
-
Switching processor of thyristor-based converters
- VCC :
-
Voltage-to-current converter
- VF :
-
Voltage follower
References
Adetokun BB, Muriithi CM (2021) Application and control of flexible alternating current transmission system devices for voltage stability enhancement of renewable-integrated power grid: a comprehensive review. Heliyon 7(3):e06461. https://doi.org/10.1016/j.heliyon.2021.e06461
Karami A, Mahmoodi Galougahi K (2019) Improvement in power system transient stability by using STATCOM and neural networks. Electr Eng 101(1):19–33. https://doi.org/10.1007/s00202-019-00753-5
Paolone M, Gaunt T, Guillaud X, Liserre M, Meliopoulos S, Monti A, Van Cutsem T, Vittal V, Vournas C (2020) Fundamentals of power systems modelling in the presence of converter-interfaced generation. Electr Power Syst Res 189:106811. https://doi.org/10.1016/j.epsr.2020.106811
Lowe RJ, Chiu LF, Pye S, Cassarino TG, Scamman D, Solano-Rodriguez B (2021) Lost generation: reflections on resilience and flexibility from an energy system architecture perspective. Appl Energy 298:117179. https://doi.org/10.1016/j.apenergy.2021.117179
Liu H, Xie X, He J, Xu T, You Z, Wang C, Zhang C (2017) Subsynchronous interaction between direct-drive PMSG based wind farms and weak AC networks. IEEE Trans Power Syst 32(6):4708–4720. https://doi.org/10.1109/TPWRS.2017.2682197
Tan B, Zhao J, Netto M, Krishnan V, Terzija V, Zhang Y (2022) Power system inertia estimation: review of methods and the impacts of converter-interfaced generations. Int J Electr Power Energy Syst 134:107362. https://doi.org/10.1016/j.ijepes.2021.107362
Uehara A, Pratap A, Goya T, Senjyu T, Yona A, Urasaki N, Funabashi T (2011) A coordinated control method to smooth wind power fluctuations of a PMSG-Based WECS. IEEE Trans Energy Convers 26(2):550–558. https://doi.org/10.1109/TEC.2011.2107912
Sayahi K, Kadri A, Bacha F, Marzougui H (2020) Implementation of a D-STATCOM control strategy based on direct power control method for grid connected wind turbine. Int J Electr Power Energy Syst 121:106105. https://doi.org/10.1016/j.ijepes.2020.106105
Nasrazadani H, Sedighi A, Seifi H (2021) Enhancing long-term voltage stability of a power system integrated with large-scale photovoltaic plants using a battery energy storage control scheme. Int J Electr Power Energy Syst 131:107059. https://doi.org/10.1016/j.ijepes.2021.107059
Ullah K, Basit A, Ullah Z, Aslam S, Herodotou H (2021) Automatic generation control strategies in conventional and modern power systems: a comprehensive overview. Energies 14(9):2376. https://doi.org/10.3390/en14092376
Ayas MS (2019) Design of an optimized fractional high-order differential feedback controller for an AVR system. Electr Eng 101(4):1221–1233. https://doi.org/10.1007/s00202-019-00842-5
Denholm P, Arent DJ, Baldwin SF, Bilello DE, Brinkman GL, Cochran JM, Cole WJ, Frew B, Gevorgian V, Heeter J, Hodge BMS, Kroposki B (2021) The challenges of achieving a 100% renewable electricity system in the United States. Joule 5(6):1331–1352. https://doi.org/10.1016/j.joule.2021.03.028
Rezkalla M, Pertl M, Marinelli M (2018) Electric power system inertia: requirements, challenges and solutions. Electr Eng 100(4):2677–2693. https://doi.org/10.1007/s00202-018-0739-z
Elliott RT, Arabshahi P, Kirschen DS (2020) A generalized PSS architecture for balancing transient and small-signal response. IEEE Trans Power Syst 35(2):1446–1456. https://doi.org/10.1109/TPWRS.2019.2938205
Prakash T, Singh VP, Mohanty SR (2019) A synchrophasor measurement based wide-area power system stabilizer design for inter-area oscillation damping considering variable time-delays. Int J Electr Power Energy Syst 105:131–141. https://doi.org/10.1016/j.ijepes.2018.08.014
Obaid ZA, Muhssin MT, Cipcigan LM (2020) A model reference-based adaptive PSS4B stabilizer for the multi-machines power system. Electr Eng 102(1):349–358. https://doi.org/10.1007/s00202-019-00879-6
Kahouli O, Jebali M, Alshammari B, Abdallah HH (2019) PSS design for damping low-frequency oscillations in a multi-machine power system with penetration of renewable power generations. IET Renew Power Gener 13(1):116–127. https://doi.org/10.1049/iet-rpg.2018.5204
Kumar A (2020) Nonlinear AVR for power system stabilisers robust phase compensation design. IET Gener Transm Distrib 14(21):4927–4935. https://doi.org/10.1049/iet-gtd.2020.0092
Butti D, Mangipudi SK, Rayapudi S (2021) Model order reduction based power system stabilizer design using improved whale optimization algorithm. IETE J Res. https://doi.org/10.1080/03772063.2021.1886875
Verdejo H, Pino V, Kliemann W, Becker C, Delpiano J (2020) Implementation of particle swarm optimization (PSO) algorithm for tuning of power system stabilizers in multimachine electric power systems. Energies 13(8):2093. https://doi.org/10.3390/en13082093
Baadji B, Bentarzi H, Bakdi A (2020) Comprehensive learning bat algorithm for optimal coordinated tuning of power system stabilizers and static VAR compensator in power systems. Eng Optimiz 52(10):1761–1779. https://doi.org/10.1080/0305215X.2019.1677635
Kang RD, Martinez EA, Viveros EC (2021) Coordinated tuning of power system controllers using parallel genetic algorithms. Electr Power Syst Res 190:106628. https://doi.org/10.1016/j.epsr.2020.106628
Pourbeik P, Sanchez-Gasca JJ, Senthil J, Weber JD, Zadehkhost PS, Kazachkov Y, Tacke S, Wen J, Ellis A (2017) Generic dynamic models for modeling wind power plants and other renewable technologies in large-scale power system studies. IEEE Trans Energy Convers 32(3):1108–1116. https://doi.org/10.1109/TEC.2016.2639050
Chakraborty S, Ramanujam R (2018) New Numerical integration methods for simulation of electromagnetic transients. Int J Emerg Electr Power Syst 19(4):20180122. https://doi.org/10.1515/ijeeps-2018-0122
Andreev MV, Gusev AS, Ruban NYu, Suvorov AA, Ufa RA, Askarov AB, Bems J, Kralik T (2019) Hybrid real-time simulator of large-scale power systems. IEEE Trans Power Syst 34(2):1404–1415. https://doi.org/10.1109/TPWRS.2018.2876668
Ruban N, Suvorov A, Andreev M, Ufa R, Askarov A, Gusev A, Bhalja BR (2021) Software and hardware decision support system for operators of electrical power systems. IEEE Trans Power Syst. https://doi.org/10.1109/TPWRS.2021.3063511
Ufa R, Andreev M, Ruban N, Suvorov A, Gusev A, Razzhivin I, Askarov A, Bay Y, Kievets A, Lozinova N, Suslova O (2019) The hybrid model of VSC HVDC. Electr Eng 101(1):11–18. https://doi.org/10.1007/s00202-018-00752-y
Razzhivin I, Suvorov A, Kievets A, Askarov A (2019) Hybrid mathematical model of wind turbine for assessment of wind generation impact on transients in power systems. Electroteh Electron Autom 67(4):28–34
IEEE Guide for Synchronous Generator Modeling Practices and Parameter Verification with Applications in Power System Stability Analyses, IEEE Std, 1110 (2019). https://doi.org/10.1109/IEEESTD.2020.9020274
Dehkordi AB, Neti P, Gole AM, Maguire TL (2010) Development and validation of a comprehensive synchronous machine model for a real-time environment. IEEE Trans Energy Convers 25(1):34–48. https://doi.org/10.1109/TEC.2009.2038530
Suvorov A, Gusev A, Ruban N, Andreev M, Askarov A, Ufa R, Razzhivin I, Kievets A, Bay J (2019) Potential application of HRTSim for comprehensive simulation of large-scale power systems with distributed generation. Int J Emerg Electr Power Syst 20(5):20190075. https://doi.org/10.1515/ijeeps-2019-0075
Machlev R, Batushansky Z, Soni S, Chadliev V, Belikov J, Levron Y (2020) Verification of utility-scale solar photovoltaic plant models for dynamic studies of transmission networks. Energies 13(12):en13123191. https://doi.org/10.3390/en13123191
Sareen K, Bhalja BR, Srivastava S, Swarnkar Y, Maheshwari RP (2018) Islanding detection technique based on Karl Pearson’s coefficient of correlation for distribution network with high penetration of distributed generations. Int J Emerg Electr Power Syst 19(3):20170232. https://doi.org/10.1515/ijeeps-2017-0232
Wildi T (2005) Electrical machines, drives, and power systems. Prentice Hall, Columbus
IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE Std, 421.5 (2016). https://doi.org/10.1109/IEEESTD.2016.7553421
Kundur P (1993) Power system stability and control. McGraw-Hill, New York
Task force on Turbine-governor modeling, Dynamic Models for Turbine-Governors in Power System Studies, IEEE (2013). https://resourcecenter.ieee-pes.org/publications/technical-reports/PESTR1.html
Acknowledgements
The reported study was funded by RFBR, project number 20-38-90003.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Askarov, A., Andreev, M., Gusev, A. et al. Hybrid tools of generating unit simulation for proper tuning of automatic voltage regulators: concept, development and validation. Electr Eng 104, 1591–1606 (2022). https://doi.org/10.1007/s00202-021-01419-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00202-021-01419-x