Design of PSS and STATCOM Parameters Simultaneously Using Intelligent Method (BRGA)
Subject Areas : electrical and computer engineeringA. Rajaee 1 , A. Khodabakhshian 2 , M. R. Esmaili 3 , M. Mahmodi 4
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Keywords: Power system stabilizer (PSS) shunt static synchronous compensators (STATCOM) BRGA algorithm,
Abstract :
This paper presents a new intelligent algorithm, named binary real genetic algorithm (BRGA) to design parameters of PSS and STATCOM controller simultaneously. The proposed algorithm has a strong search capability and high speed convergence to find the global optimum points. The objective function used in this paper to be minimized is the time integral absolute error (ITAE). The objective will be minimizing the deviations of rotor speed () and the voltage of the bus in which STATCOM has been installed. The simulations are carried out on a two-area four-machine power system to show the superior performance of the proposed method, when compared with GA and PSO algorithms.
[1] Y. Yu, Electric Power System Dynamics, Academic Press, 1983.
[2] P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.
[3] A. R. Fereidouni, B. Vahidi, T. H. Mehr, and M. Tahmasbi, "Improvement of low frequency oscillation damping by allocation and design of power system stabilizers in the multi-machine power system," Electrical Power and Energy Systems, vol. 52, no. 3, pp. 207-220, Nov. 2013.
[4] N. Modi and T. K. Saha, "Application of extremum seeking control to design power oscillation damping controller," Electric Power Systems Research, vol. 101, no. 5, pp. 49-55, Aug. 2013.
[5] F. S. Al-Ismail, M. A. Hassan, and M. A. Abido, "RTDS implementation of STATCOM-based power system stabilizers," Canadian J. of Electrical and Computer Engineering, vol. 37, no. 1, pp. 25-37, Winter 2014.
[6] N. Mithulananthan, C. A. Canizares, J. Reeve, and G. J. Rogers, “Comparison of PSS, SVC, and STATCOM controllers for damping power system oscillations, " IEEE Trans. on Power Systems, vol. 18, no. 2, pp. 786-792, May 2003.
[7] S. Wang, "A novel objective function and algorithm for optimal PSS parameter design in a multi-machine power system," IEEE Trans. on Power Systems, vol. 49, no. 1, pp. 28-39, Feb. 2013.
[8] V. Keumarsi, M. Simab, and G. Shahgholian, "An integrated approach for optimal placement and tuning of power system stabilizer in multi-machine systems," International Journal of Electrical Power & Energy Systems, , vol. 63, no. 10, pp. 132-139, Dec. 2014.
[9] M. J. E. Afzalan and M. Joorabian "Analysis of the simultaneous coordinated design of STATCOM-based damping stabilizers and PSS in a multi-machine power system using the seeker optimization algorithm," Electrical Power and Energy Systems, vol. 53, no. 1, pp. 1003-1017, Dec. 2013.
[10] A. Khodabakhshian, M. J. Morshed, and M. Parastegari, "Coordinated design of STATCOM and excitation system controllers for multi-machine power systems using zero dynamics method," Electrical Power and Energy Systems, vol. 49, no. 1, pp. 269-279, Jul. 2013.
[11] H. E. Mostafaa, M. A. El-Sharkawyb, A. A. Emaryc, and K. Yassin, "Design and allocation of power system stabilizers using the particle swarm optimization technique for an interconnected power system," Int. J. Electr. Power Energy Sys.t, vol. 34, no. 3, pp. 57-65, Jan. 2012.
[12] A. Khodabakhshian and R. Hemmati, "Multi-machine power system stabilizer design by using cultural algorithms," Electrical Power and Energy Systems, vol. 44, no. 1, pp. 571-580, Jan. 2013.
[13] E. Ali, "Optimization of Power System Stabilizers using BAT search algorithm," International Journal of Electrical Power & Energy Systems, vol. 61, no. 5, pp. 683-690, Oct. 2014.
[14] F. Liu, et al., "The nonlinear internal control of STATCOM: theory and application," Electrical Power and Energy Systems, vol. 25, no. 10, pp. 421-430, Jul. 2003.
[15] M. Moghavvemi, H. A. F. Almurib, and H. A. F. Muttaqi, "A coordinated design of PSSs and UPFC-based stabilizer using genetic algorithm," Industry Applications IEEE Trans. on Power Systems, vol. 50, no. 5, pp. 2957-2966, Sept.-Oct. 2014.
[16] S. Panda and N. Kumar Yegireddy, "Hybrid BFOA-PSO approach for coordinated design of PSS and SSSC-based controller considering time delays," Electrical Power and Energy Systems, vol. 49, no. 3, pp. 221-233, 2013.
[17] D. Z. Fang, S. Q. Yuan, Y. J. Wang, and T. S. Chung, "Coordinated parameter design of STATCOM stabiliser and PSS using MSSA algorithm," IET Generation, Transmission & Distribution, vol. 49, no. 5, pp. 1049-1058, Jul. 2007.
[18] M. A. Furini, A. L. S. Pereira, and P. B. Araujo, "Pole placement by coordinated tuning of power system stabilizers and FACTS-POD stabilizers," Electrical Power and Energy Systems, vol. 33, no. 5, pp. 615-622, Mar. 2011.
[19] F. S. Al-Ismail and M. A. Abido, "The impact of STATCOM based stabilizers on power system stability, using intelligent computational optimization," in Proc. IEEE PES Innovative Smart Grid Technologies Asia, ISGT'11 pp. 4577-4585, 3-16 Nov. 2011.
[20] M. A. Abido, "Design of PSS and STATCOM-based damping stabilizers using genetic algorithms," in Proc. IEEE Power Engineering Society General Meeting, pp. 4244-4253, 18-22 Jun. 2006.
[21] M. R. Safari Tirtashi, T. A. Rohani, and R. Noroozian, "PSS and STATCOM controller design for damping power system oscillations using fuzzy control strategies," in Proc. of 18th Iranian Conf. on Electrical Engineering, ICEE010, vol. 26, pp. 4244-4250, 11-13 May 2010.
[22] L. Zhijian, Y. Jilai, and S. Hongchun, "Adaptive genetic algorithm applied in coordinated control of PSS and STATCOM," in Proc. Int. Conf. on Measuring Technology and Mechatronics Automation, ICMTMA'09, vol. 3, pp. 211-216, 11-12 Apr. 2009.
[23] S. Panda, P. Kumar Mohanty, and B. Kumar Sahu, "Bacteria foraging optimisation algorithm for tuning of PSS and STATCOM-based controller parameters," International J. of Data Mining, Modelling and Management, vol. 5, no. 4, pp. 351-369, 2013.
[24] O. A. Abdul-Rahman and M. Munetomo, "An adaptive parameter binary-real coded genetic algorithm for constraint optimization problems: performance analysis and estimation of optimal control parameters," Information Sciences, vol. 23, no. 1, pp. 54-86, Jun. 2013.
