New approach to power system stabilizer optimization techniques

• Autorzy: Boumous Samira , Boumous Zouhir , Djeghader Yacine , Boumous Moufida

Identyfikatory

DOI

10.29354/diag/194669

• Języki publikacji: EN

Abstrakty

EN

Power System Stabilizers (PSS) are control devices used in synchronous generators to enhance the stability and damping of power systems by providing supplementary control signals to the generator excitation system. It’s come in various types, each designed to address specific stability issues and accommodate different system configurations, Conventional Lead-Lag PSS, Phase-Compensation PSS, High-Speed PSS and Wide-Area PSS. Multi-area transitional stability hinges on the ability of a power system consisting of multiple interconnected areas or regions to maintain synchronous operation following a disturbance, such as a short circuit or a disturbance in the load. Ensuring transient stability in such systems is crucial for preventing cascading failures and blackouts. The proposed control illustrates the implementation of different strategies for PSS using the four machines two-area kundur test system.

Słowa kluczowe

EN

power system stabilizer; multi area system; kundur test system; control

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2024
• Tom: Vol. 25, No. 4
• Strony: art. no. 2024409
• Opis fizyczny: Bibliogr. 42 poz., rys., tab.

Twórcy

autor

Boumous Samira

• LEER Laboratory, University of Mohamed-Cherif Messaadia of Souk Ahras, Algeria

• https://orcid.org/0000-0003-2213-6542

autor

Boumous Zouhir

• LEER Laboratory, University of Mohamed-Cherif Messaadia of Souk Ahras, Algeria

• https://orcid.org/0000-0003-4972-1805

autor

Djeghader Yacine

• LEER Laboratory, University of Mohamed-Cherif Messaadia of Souk Ahras, Algeria

• https://orcid.org/0000-0002-7097-7808

autor

Boumous Moufida

• University of Mohamed-Cherif Messaadia of Souk Ahras, Algeria

• https://orcid.org/0009-0000-2973-0523

Bibliografia

• 1. Chen Y, Xu W, Liu Y, Mao Z, Bao Z, Yao W, et al. Small-signal system frequency stability analysis of the power grid integrated with type-II doubly-fed variable speed pumped storage. IEEE Transactions on Energy Conversion 2023;38(1):611-23. https://doi.org/10.1109/TEC.2022.3207166.
• 2. Ayas MS, Sahin AK. A reinforcement learning approach to automatic voltage regulator system. Engineering Applications of Artificial Intelligence 2023; 121: 106050. https://doi.org/10.1016/j.engappai.2023.106050.
• 3. Rajan R, Fernandez FM. Small-signal stability analysis and frequency regulation strategy for photovoltaic sources in interconnected power system. Engineering 2021;103(6):3005-21. https://doi.org/10.1007/s00202-021-01293-7.
• 4. Buzcu Y, Topaloglu S, Ayten UE, Sagbas M. A novel lead and lag compensator circuit employing a single current feedback operational amplifier. Microelectronics Journal 2020; 105: 104913. https://doi.org/10.1016/j.mejo.2020.104913.
• 5. Shafiullah M, Pathan MIH, Shahriar MS, Ali A, Hossain MI, Alam MS. Real-time solution of PSS parameter tuning by GA-ANFIS in stabilizing the electrical power system. Arabian Journal for Science and Engineering 2023; 48(5): 6925-38. https://doi.org/10.1007/s13369-023-07666-3.
• 6. Zhu Y, Zhang Y, Xie X, Yang D, Gao S, Zhang W, et al. Configuration method of PSS lead-lag compensator parameters. E3S Web of Conferences 2021;233: 01059. https://doi.org/10.1051/e3sconf/202123301059.
• 7. Ansari J, Abbasi AR, Heydari MH, Avazzadeh Z. Simultaneous design of fuzzy PSS and fuzzy STATCOM controllers for power system stability enhancement. Alexandria Engineering Journal 2022; 61(4): 2841-50. https://doi.org/10.1016/j.aej.2021.08.007.
• 8. Ansari J, Abbasi AR, Heydari MH, Avazzadeh Z. Simultaneous design of fuzzy PSS and fuzzy STATCOM controllers for power system stability enhancement. Alexandria Engineering Journal 2022; 61(4): 2841-50. https://doi.org/10.1016/j.aej.2021.08.007.
• 9. Azizi N, Moradi H, Rouzbehi K, Mehrizi‐Sani A. Direct current power system stabilizers for HVDC grids: Current status. IET Generation, Transmission & Distribution 2023; 17(23): 5117-23. https://doi.org/10.1049/gtd2.13045.
• 10. Bakolia V, Joshi SN. Design and analysis of fuzzy logic based power system stabilizer. International Journal Of Engineering Research & Technology (IJERT) 2020; 09(08).
• 11. Swain DR, Ray PK, Jena RK, Paital SR. Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer. Soft Computing 2023; 27(12): 7715-37. https://doi.org/10.1007/s00500-023-08037-8.
• 12. Azizi N, Moradi CheshmehBeigi H, Rouzbehi K. Optimal placement of direct current power system stabiliser (DC‐PSS) in multi‐terminal HVDC grids. IET Generation, Transmission & Distribution 2020; 14(12): 2315-22. https://doi.org/10.1049/ietgtd.2019.1224.
• 13. Meegahapola L, Bu S, Gu M. Overview of HVDC technologies and power system stability. hybrid AC/DC power grids: Stability and control aspects. Power Systems2022; 17-56. https://doi.org/10.1007/978-3-031-06384-8_2.
• 14. Nocoń A, Paszek S. A comprehensive review of power system stabilizers. Energies 2023; 16(4): 1945.
• 15. Hatziargyriou N, Milanovic J, Rahmann C, Ajjarapu V, Canizares C, Erlich I, et al. Definition and classification of power system stability - Revisited & Extended. IEEE Transactions on Power Systems 2021; 36(4): 3271-81. https://doi.org/10.1109/TPWRS.2020.3041774.
• 16. Shair J, Li H, Hu J, Xie X. Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics. Renewable and Sustainable Energy Reviews 2021; 145: 111111. https://doi.org/10.1016/j.rser.2021.111111.
• 17. Waheed S. A strong action power system stabilizer employment to improve large scale power systems' stability. Journal of Electrical Systems 2021.
• 18. Alotaibi IM, Ibrir S, Abido MA, Khalid M. Nonlinear power system stabilizer design for small signal stability enhancement. Arabian Journal for Science and Engineering 2022; 47(11): 13893-905. https://doi.org/10.1007/s13369-022-06566-2.
• 19. Vijaya Lakshmi ASV, Siva Kumar M, Ramalinga Raju M. Interval approach based decentralized robust PIDPSS design for an extended multi-machine power system. Arabian Journal for Science and Engineering 2024; 49(5): 6293-304. https://doi.org/10.1007/s13369-023-08197-7.
• 20. Peres W, Coelho FCR, Costa JNN. A pole placement approach for multi‐band power system stabilizer tuning. International Transactions on Electrical Energy Systems 2020; 30(10).https://doi.org/10.1002/2050- 7038.12548.
• 21. Jigang H, Jie W, Hui F. An anti-windup self-tuning fuzzy PID controller for speed control of brushless DC motor. Automatika 2017; 58(3): 321-35. https://doi.org/10.1080/00051144.2018.1423724.
• 22. Douidi B, Mokrani L, Machmoum M. A new cascade fuzzy power system stabilizer for multi-machine system stability enhancement. Journal of Control, Automation and Electrical Systems 2019; 30(5): 765-79. https://doi.org/10.1007/s40313-019-00486-7.
• 23. Touil S, Bekakra Y, Ben Attous D. Influence of fuzzy power system stabilizer using different membership functions for single and multi-machine. Journal of Control, Automation and Electrical Systems 2021; 32(5): 1269-78. https://doi.org/10.1007/s40313-021- 00739-4.
• 24. Sahithya P, Kumar N. Enhancement of transient stability of a smib system using fuzzy logic-based power system stabilizer. Recent Advances in Power Systems 2022; 812; 311-9. https://doi.org/10.1007/978-981-16-6970-5_24.
• 25. Arora A, Bhadu M, Kumar A. Simultaneous power oscillation damping and frequency control in AC microgrid considering renewable uncertainties: a coordinated control of multiple robust controllers with imperfect communication. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 2024; 48(1): 165-85. https://doi.org/10.1007/s40998-023-00649-y.
• 26. Prakash A, Singh P, Kumar K, Parida SK. Design of TCSC based optimal wide area power system stabilizer for low-frequency oscillation. 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) 2021;1-6. https://doi.org/10.1109/GUCON50781.2021.9573982.
• 27. Kumar A, Bhadu M. A Comprehensive study of widearea damping controller requirements through realtime evaluation with operational uncertainties in modern power systems. IETE Journal of Research 2022: 1-22. https://doi.org/10.1080/03772063.2022.2043784.
• 28. Kundur P. Power system stability and control. EPRI Power System Engineering Series McGraw-Hill 1994.
• 29. Vajpayee V, Top E, Becerra VM. Analysis of transient interactions between a pwr nuclear power plant and a faulted electricity grid. Energies 2021; 14(6): 1573. https://doi.org/10.3390/en14061573.
• 30. Zadehbagheri M, Sutikno T, Kiani MJ, Yousefi M. Designing a power system stabilizer using a hybrid algorithm by genetics and bacteria for the multimachine power system. Bulletin of Electrical Engineering and Informatics 2023; 12(3): 1318-31. https://doi.org/10.11591/eei.v12i3.4704.
• 31. MurgaŜ J, Sekaj I, Foltin M, Mikloviĉová E. Optimization of power system stabilizer by genetic algorithm. IFAC Proceedings Volumes 2005; 38(1): 274-8. https://doi.org/10.3182/20050703-6-CZ1902.01774.
• 32. Sebaa K, Boudour M. Optimal locations and tuning of robust power system stabilizer using genetic algorithms. Electric Power Systems Research 2009; 79(2): 406-16. https://doi.org/10.1016/j.epsr.2008.08.005.
• 33. Keskes S, Bouchiba N, Sallem S, Chrifi-Alaoui L, Kammoun MBA. Optimal tuning of power system stabilizer using genetic algorithm to improve power system stability. 2017 International Conference on Green Energy Conversion Systems (GECS) 2017; 1-5. https://doi.org/10.1109/GECS.2017.8066200.
• 34. Abdel-Magid YL, Dawoud MM. Tuning of power system stabilizers using genetic algorithms. Electric Power Systems Research 1996; 39(2): 137-43. https://doi.org/10.1016/S0378-7796(96)01105-4.
• 35. Obaid ZA, Muhssin MT, Cipcigan LM. A model reference-based adaptive PSS4B stabilizer for the multi-machines power system. Electrical Engineering 2020; 102(1): 349–58. https://doi.org/10.1007/s00202-019-00879-6.
• 36. Jebali M, Kahouli O, Hadj Abdallah H. Optimizing PSS parameters for a multi-machine power system using genetic algorithm and neural network techniques. The International Journal of Advanced Manufacturing Technology 2017; 90(9-12): 2669-88. https://doi.org/10.1007/s00170-016-9547-7.
• 37. Kaymaz E, Güvenç U, Döşoğlu MK. Optimal PSS design using FDB-based social network search algorithm in multi-machine power systems. Neural Computing and Applications 2023; 35(17): 12627-53. https://doi.org/10.1007/s00521-023-08356-9.
• 38. Alkhatib H, Duveau J. Dynamic genetic algorithms for robust design of multimachine power system stabilizers. International Journal of Electrical Power & Energy Systems 2013; 45(1): 242-51. https://doi.org/10.1016/j.ijepes.2012.08.080.
• 39. El-Mihoub TA, Hopgood AA, Nolle L. Self-adaptive learning for hybrid genetic algorithms. Evolutionary Intelligence 2021; 14(4): 1565-79. https://doi.org/10.1007/s12065-020-00425-5.
• 40. Sun N, Lu Y. Retracted article: A self-adaptive genetic algorithm with improved mutation mode based on measurement of population diversity. Neural Computing and Applications 2019; 31(5): 1435-43. https://doi.org/10.1007/s00521-018-3438-9.
• 41. Xue Y, Zhu H, Liang J, Słowik A. Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification. Knowledge-Based Systems 2021; 227: 107218. https://doi.org/10.1016/j.knosys.2021.107218.
• 42. Dombo DA, Folly KA. Self-adaptive differential evolution based power system stabilizers. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) 2017; 1-6. https://doi.org/10.1109/SSCI.2017.8285412.