Improvement of Power System Stability with Salp ‎Swarm Algorithm and Fuzzy Type II

Journal of Applied Dynamic Systems and Control

دوره 4، شماره 2، اسفند 2021، صفحه 54-68   

نوع مقاله: Original Article

نویسندگان

Payam Rokni Nakhi^{* 1}؛ Salman Amirkhan²؛ Javad Safaei Kuchaksaraei³؛ Fatemeh Hamedani¹

¹Department of Power Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr, Iran

²Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran

³Department of Power Engineering, Savadkooh Branch, Islamic Azad University, Savadkooh, Iran

چکیده

The use of renewable resources in the power system is increasing day by day. Wind energy is one of the forms of renewable energy sources that has been widely available to humans due to the common nature of renewable energy with low concentration (low density). Due to the constant changes of wind and as a result of changes in the power produced by wind farms, uncertainty in the power of the power system will become an integral part. Now, if the permeability of these resources increases, they can directly affect the dynamic stability of the system and the margin of stability of the system will change in power systems expansion, instability was often due to a lack of synchronizing torque. Issues such as the small perturbation stability of local oscillation modes and low-frequency inter-zone oscillation modes became apparent with a significant improvement in power system performance. The paper presents an optimal and coordinated power oscillation damper based on a wind turbine and power system stabilizer (PSS) to maintain the stability of power system and damp inter-area oscillations. The optimal and coordinated design of the PSS located at the generator site and the damper installed in the control section of the doubly-fed induction generator (DFIG) is defined as an optimization problem.

کلیدواژه‌ها

Inter-area oscillations؛ power system stabilizer؛ doubly-fed induction generator؛ wide-‎ Area measurement system؛ dynamic stability؛ wind farms

مراجع

[1]    X. Shi et al., “Data-driven model-free adaptive damping control with unknown control direction for wind farms,” Int. J. Electr. Power Energy Syst., vol. 123, no. May, 2020.

[2]    M. J. Alinezhad, M. Radmehr, and S. Ranjbar, “Adaptive wide area damping controller for damping inter-area oscillations considering high penetration of wind farms,” Int. Trans. Electr. Energy Syst., vol. 30, no. 6, pp. 1–21, 2020.

[3]    N. Gurung, R. Bhattarai, and S. Kamalasadan, “Optimal Oscillation Damping Controller Design for Large-Scale Wind Integrated Power Grid,” IEEE Trans. Ind. Appl., vol. 56, no. 4, pp. 4225–4235, 2020.

[4]    J. Nan et al., “Wide-area power oscillation damper for DFIG-based wind farm with communication delay and packet dropout compensation,” Int. J. Electr. Power Energy Syst., vol. 124, no. May 2020, p. 106306, 2021.

[5]    L. Khan and K. L. Lo, “Hybrid micro-GA based FLCs for TCSC and UPFC in a multi-machine environment,” Electr. Power Syst. Res., vol. 76, no. 9–10, pp. 832–843, Jun. 2006.

[6]    G. Rogers, Power system oscillations. Kluwer Academic Publishers, 2000.

[7]    P. Kundur, N. J. Balu, and M. G. Lauby, Power system stability and control. McGraw-Hill, 1994.

[8]    A. Feliachi, “Stabilization of inter-area oscillation modes through excitation systems,” IEEE Trans. Power Syst., vol. 9, no. 1, pp. 494–502, 1994.

[9]    E. V. Larsen, J. J. Sanchez-Gasca, and J. H. Chow, “Concepts for design of FACTS controllers to damp power swings,” IEEE Trans. Power Syst., vol. 10, no. 2, pp. 948–956, May 1995.

[10]  W. Yao, L. Jiang, Q. H. Wu, J. Y. Wen, and S. J. Cheng, “Delay-dependent stability analysis of the power system with a wide-area damping controller embedded,” IEEE Trans. Power Syst., vol. 26, no. 1, pp. 233–240, 2011.

[11]  H. Shayeghi, H. A. Shayanfar, A. Safari, and R. Aghmasheh, “A robust PSSs design using PSO in a multi-machine environment,” Energy Convers. Manag., vol. 51, no. 4, pp. 696–702, Apr. 2010.

[12]  J. da Cruz and L. Cera Zanetta, “Stabilizer design for multimachine power systems using mathematical programming,” Int. J. Electr. Power Energy Syst., vol. 19, no. 8, pp. 519–523, 1997.

[13]  L. C. Zanetta and J. J. Da Cruz, “An incremental approach to the coordinated tuning of power systems stabilizers using mathematical programming,” IEEE Trans. Power Syst., vol. 20, no. 2, pp. 895–902, 2005.

[14]  P. Rokni Nakhi and M. Ahmadi Kamarposhti, “Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty,” Int. Trans. Electr. Energy Syst., 2019.

[15] A. Bose, “Smart Transmission Grid Applications and Their Supporting Infrastructure,” IEEE Trans. Smart Grid, vol. 1, no. 1, pp. 11–19, Jun. 2010.

[16]  M. Mokhtari, F. Aminifar, D. Nazarpour, and S. Golshannavaz, “Wide-area power oscillation damping with a fuzzy controller compensating the continuous communication delays,” IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1997–2005, 2013.

[17]  B. Naduvathuparambil, M. C. Valenti, and A. Feliachi, “Communication delays in wide area measurement systems,” in Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory (Cat. No.02EX540), 2002, pp. 118–122.

[18]  L. D. Philipp, A. Mahmood, and B. L. Philipp, “An improved refinable rational approximation to the ideal time delay,” IEEE Trans. Circuits Syst. I Fundam. Theory Appl., vol. 46, no. 5, pp. 637–640, May 1999.

[19]  S. Arabi Nowdeh et al., “Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method,” Appl. Soft Comput., vol. 77, pp. 761–779, Apr. 2019.

[20]  M. Jahannoosh, S. A. Nowdeh, A. Naderipour, H. Kamyab, I. F. Davoudkhani, and J. J. Klemeš, “New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability,” J. Clean. Prod., vol. 278, 2021.

[21]  S. Mirjalili, A. H. Gandomi, S. Z. Mirjalili, S. Saremi, H. Faris, and S. M. Mirjalili, “Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems,” Adv. Eng. Softw., vol. 114, pp. 163–191, 2017.

[22]  A. Naderipour et al., “Carrier wave optimization for multi-level photovoltaic system to improvement of power quality in industrial environments based on Salp swarm algorithm,” Environ. Technol. Innov., 2020.

[23]  M. Mokhtari and F. Aminifar, “Toward Wide-Area Oscillation Control Through Doubly-Fed Induction Generator Wind Farms,” IEEE Trans. Power Syst., vol. 29, no. 6, pp. 2985–2992, Nov. 2014.

[24]Sauer Peter W, Pai MA. Power system dynamics and stability. Prentice Hall;1998

[25] Abido MA. Parameter optimization of multimachine power system stabilizers using genetic local search. Int J Electr Power Energy Syst 2001;23:785–94.