Enhancing power system stability through intelligent STATCOM control strategies in torsional oscillation environments

Year 2024, Volume: 42 Issue: 6, 1933 - 1953, 09.12.2024

Sangeeta Bamba Sushil Kumar Gupta

Abstract

This research develops a new control method for the IEEE Second benchmark model (SBM) that uses an intelligent optimization-based static synchronous compensator to reduce low-frequency torsional oscillations. This low-frequency oscillation caused by mainly shunt and series compensation produces torsional oscillation and induction generator effect in a synchronous generator that may lead to fatigue in the shaft and continuation of low-frequency oscillations for a long duration. To minimize this effect, various techniques have been applied. The Static Synchronous Compensator›s gate signal is managed by the control strategy using two distinct proportional-integral (PI) controllers in accordance with system voltage. The test system is subjected to a three-phase LLL-G fault with zero inherent dampening considered to simulate the most severe situation, with natural damping for comparative analysis. The time-domain outcomes of the rotor dynamics for different test scenarios with and without the Static Synchronous Compensator and with the proposed PSO (Particle swarm optimi-zation), FF (Firefly algorithm), and GWO (Grey Wolf Optimizer) Optimization-based Static Synchronous Compensator (STATCOM). The efficiency of the proposed controller in reducing overall power system oscillations is demonstrated using optimization-based STATCOM. The proposed study demonstrates the superiority of the GWO optimization technique over FF, PSO, and standard STATCOM in terms of settling time. This is evidenced by comparing the simulation results, including the performance index.

Keywords

Grey Wolf Optimization (GWO), Proportional-Integral Controller, Static Synchronous Compensator (STATCOM), Sub Synchronous Resonance (SSR)

References

• REFERENCES
• [1] Basler MJ, Basler RC. Understanding power system stability. IEEE Trans Ind Appl 2008;44:463–474
• [2] Kundur P. Power System Stability and Control. New York, USA: McGraw Hill;1994.
• [3] Law KT, Godfrey NR. Robust co-ordinated AVR-PSS design. IEEE Trans Power Syst 1994;9:1218–1225.
• [4] Bourl√®s HC, Houry MP. Robust continuous speed governor control for small-signal and transient stability. IEEE Trans Power Syst 1997;12:129–135. https://doi.org/10.1109/59.574932
• [5] Dudgeon GJW, Dysko A, O'Reilly J, McDonald JR. The effective role of AVR and PSS in power systems: Frequency response analysis. IEEE Trans Power Syst 2007;22:1986–1994.
• [6] Wei SZ, Huang Y. Synchronous motor-generator pair to enhance small signal and transient stability of power system with high penetration of renewable energy. IEEE Access 2017;5:11505–11512.
• [7] Xiang JH, Ma J. Distributed power control for transient stability of multimachine power systems. IEEE J Emerg Sel Top Circuits Syst 2017;7:383–392.
• [8] Khayyatzadeh M, Khayyatzadeh R. Sub-synchronous resonance damping using high penetration PV plant. Mech Syst Signal Process 2017;84:431–444.
• [9] Varma RK, Varma S. SSR mitigation with a new control of PV solar farm as STATCOM (PV-STATCOM). IEEE Trans Sustain Energy 2017;8:1473–1483.
• [10] Varma RK, Varma H. PV solar system control as STATCOM (PV-STATCOM) for power oscillation damping. IEEE Trans Sustain Energy 2019;10:1793–1803.
• [11] Wang LL, Prokhorov AV, Mokhlis H, Huat CK. Modal control design of damping controllers for thyristor-controlled series capacitor to stabilize common-mode torsional oscillations of a series- capacitor compensated power system. IEEE Trans Ind Appl 2019;55:2327–2336.
• [12] Gupta SK, Gupta AK, Kumar N. Damping subsynchronous resonance in power systems. IEE Proc Gener Transm Distrib 2002;149:679–688.
• [13] Gupta SK, Kumar N, Gupta AK. Controlled series compensation in coordination with double order SVS auxiliary controller and induction M/C for repressing the torsional oscillations in power systems. Available at: www.elsevier.com/locate/epsr Last Accessed Date: 22.11.2024.
• [14] Hingorani NG, Gyugyi L, El-Hawary ME. Understanding FACTS: concepts and technology of flexible AC transmission systems. New York: IEEE Press; 2000.
• [15] Wang LC, Kuan BL, Prokhorov AV. Stability improvement of a two-area power system connected with an integrated onshore and offshore wind farm using a STATCOM. IEEE Trans Ind Appl 2017;53:867–877.
• [16] Bakhshi MH, Rabiee A. Fuzzy based damping controller for TCSC using local measurements to enhance transient stability of power systems. Int J Electr Power Energy Syst 2017;85:12–21.
• [17] Kiran SHD, Subramani C. Performance of two modified optimization techniques for power system voltage stability problems. Alex Eng J 2016;55:2525–2530.
• [18] Inkollu SR, Reddy VR. Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm. Eng Sci Technol Int J 2016;19:1166–1176.
• [19] Safari AA, Golkar MA. Controller design of STATCOM for power system stability improvement using honey bee mating optimization. J Appl Res Technol 2013;11:144–155.
• [20] Yao JW, Li J, Liu R, Zhang H. Sub-synchronous resonance damping control for series-compensated DFIG-based wind farm with improved particle swarm optimization algorithm. IEEE Trans Energy Convers 2019;34:849–859.
• [21] Bamba S, Gupta SK. Sub-synchronous resonance mitigation in series-compensated power systems using a GWO-based optimal controller. In: India International Conference on Power Electronics, IICPE. IEEE Computer Society; 2023.
• [22] Kumar R, Singh R, Ashfaq H. Stability enhancement of multi-machine power systems using ant colony optimization-based static synchronous compensator. Comput Electr Eng 2020;83.
• [23] Yousuf V, Ahmad A. Optimal design and application of fuzzy logic equipped control in STATCOM to abate SSR oscillations. Int J Circuit Theory Appl 2021;49:4070–4087.
• [24] Moradi-Shahrbabak Z. Proposed sub-synchronous resonance damping controller for large-scale wind farms. IET Renew Power Gener 2023;17:3209–3220.
• [25] Padiyar KR, Prabhu N. Analysis of SSR with three-level twelve-pulse VSC-based interline power-flow controller. IEEE Trans Power Deliv 2007;22:1688–1695.
• [26] Farmer RG. Second benchmark model for computer simulation of subsynchronous resonance. IEEE Power Eng Rev 1985;PER-5:34.
• [27] Second benchmark model for computer simulation of subsynchronous resonance. IEEE Subsynchronous Resonance Working Group. 1985.
• [28] Sharma PR, Gupta SK, Yadav P, Sharma PR. Optimal location of UPFC in power system using multi-objective GAPSO hybrid algorithm. Int J Ser Eng Sci 2016;2:26–45.
• [29] Minaxi, Saini S. Frequency control using different optimization techniques of a standalone PV-wind-diesel with BESS hybrid system. IEEJ Trans Power Energy 2023;143:218–225.
• [30] Wadhwa K, Gupta SK. A novel black widow optimized controller approach for automatic generation control in modern hybrid power systems. Int J Electr Electron Res 2023;11:819–825.
• [31] Wadhwa K, Gupta SK. Integrating capacitive energy storage (CES) into existing power system to manage frequency deviation. Int J Intell Syst Appl Eng 2024;12:737–734.
• [32] Mirjalili S, Mirjalili SM, Lewis A. Grey wolf optimizer. Adv Eng Softw 2014;69:46–61.
• [33] Prasad CE, Vadhera S. Mitigation of sub synchronous resonance using STATCOM controlled by PID and FL controllers. In: 2014 IEEE 6th India International Conference on Power Electronics (IICPE). IEEE; 2014. p. 1–5.