طراحی همزمان پارامترهای PSS و SVC با استفاده از روش کوانتوم بهبود یافته جهت ارتقای پایداری سیستم قدرت چند ماشینه

محورهای موضوعی : انرژی های تجدیدپذیر

امیر کاظمی زهرانی ¹ , معین پرستگاری ²

1 - کارشناس ارشد - دانشکده فنی مهندسی، واحد خمینی‌شهر، دانشگاه آزاد اسلامی، خمینی‌شهر، ایران
2 - گروه بازار برق،پرشین دانش،اصفهان،ایران

تاریخ دریافت : 1396/03/03 تاریخ پذیرش : 1396/08/01 تاریخ انتشار : 1396/08/15

کلید واژه: پایداری, SVC, الگوریتم تکاملی کوانتوم, PSS,

چکیده مقاله :

امروزه با توجه به اهمیت ارتقای عملکرد سیستم قدرت از دیدگاه کیفیت توان و پایداری استفاده از ادوات FACTS در شبکه های قدرت، و هماهنگ سازی این ادوات با پایدار سازهای سیستم قدرت مورد توجه قرار گرفته است. با توجه به این مسأله، در این مقاله مسأله طراحی هماهنگ پارامترهای PSS و SVC در سیستم های قدرت چند ماشینه معرفی گردیده و با روش کوانتوم حل گردیده است. با وجود این که PSS برای میراسازی نوسانات سیگنال کوچک سیستم قدرت طراحی می شود، این وسیله برای میراسازی نوسانات سیگنال بزرگ باید با سایر تجهیزات از جمله SVC به صورت هماهنگ طراحی می شود. لذا برای پایداری بهتر سیستم قدرت در این مقاله پارامترهای PSS و SVC به صورت هماهنگ با استفاده از الگوریتم QEA به دست آمده است. روش بین ارائه شده برای تععین پارامترهای PSS و SVC بر روی سیستم های چهار ماشینه کندور و 39 باس NEW ENGLAND تعیین گردیده است. نتایج شبیه سازی مؤید برتری روش پیشنهادی نسبت به روش های الگوریتم بهینه ساری ازدحام ذرات و الگویتم بهینه سازی غذایابی باکتریا می باشد.

چکیده انگلیسی:

As to the importance of power system performance in terms of quality, and stability, through flexible AC transmission system (FACTS) devices in power networks and coordinating these devices through power system stabilizers (PSSs) has gained a great acceptance. Accordingly, the problem of coordinated design of PSS and static var compensator (SVC) parameters in multi-machine power systems is introduced and solved through the improved quantum method. In previous studies PSS is designed for damping small-signal oscillations of the power system. To damp large-signal oscillations, PSS should be designed in accordance with other devices like SVC. Therefore to reach overall stability of power system, the Quantum-inspired Evolutionary Algorithm is applied here to determine PSS parameters and SVC in a coordinated manner. This proposed method is applied in determining PSS parameters and SVC of Kundur’s four-machine power systems and the New England 39-bus system. Simulation results reveal the effective performance of this proposed method in comparison with Particle Swarm Optimization (PSO) and Bacteria Foraging Optimization (BFO) methods.

منابع و مأخذ:

[1] P.Kundur, "Power System Stability and Control", Ontario: McGraw-Hill, 1994.

[2] N.G. Hingorani, L. Gyugyi, "Understanding FACTS-concepts and technology of flexible ac transmission systems", New York: Wiley-IEEE Press, 2000.

[3] A. Khodabakhshian, M.R. Esmaili, M. Bornapour, "Optimal coordinated design of UPFC and PSS for improving power system performance by using multi-objective water cycle algorithm", Electrical Power and Energy Systems, Vol. 83, pp. 124-133, Dec. 2016.

[4] M.R. Esmaili, R.A. Hooshmand, M. Parastegari, P. Ghaebi Panah, S. Azizkhani, "New coordinated design of SVC and PSS for multi-machine power system using BF-PSO algorithm", Procedia Technology, Vol. 11, pp.65-74, 2013.

[5] S. Kamalasadan, G.D. Swann, R. Yousefian, "A novel system-centric intelligent adaptive control architecture for power system stabilizer based on adaptive neural networks", IEEE Systems Journal, Vol. 8, No. 4, pp. 1074-1085, Dec. 2014.

[6] M. Ghanbari Jolfaei, A.M. Sharaf, S.M. Shariatmadar, M. Bayati Poudeh, "A hybrid PSS–SSSC GA-stabilization scheme for damping power system small signal oscillations", Int. Journal of Electrical Power and Energy Systems, Vol. 75, pp. 337-344, Feb. 2016.

[7] A. Safari, "A PSO procedure for a coordinated tuning of power system stabilizers for multiple operating conditions", Journal of Applied Research and Technology, Vo. 11, No. 5, pp. 665-673, Oct. 2013.

[8] K.R. Devabalaji, K. Ravi, "Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using bacterial foraging optimization algorithm", Ain Shams Engineering Journal, Vol. 7, No. 3, pp. 959–971, Sep. 2016.

[9] M.R. Banaei, H. Toloue, F.M. Kazemi, M.R. Jannati Oskuee, "Damping of power system oscillations using imperialist competition algorithm im power system equipped by HDVC", Ain Shams Engineering Journal, Vol. 6, No. 1, pp.75-84, Mar. 2015.

[10] S. Gholizadeh, "Performance-based optimum seismic design of steel structures by a modified firefly algorithm and new neural network", Advances in Engineering Software, Vol. 81, pp. 50-65, Mar. 2015.

[11] M.R. Tavakoli, V. Rasouli, H.R. Nasajpour, M. Shaarbafchizadeh, "A new simultaneous coordinated design of statcom controller and power system stabilizer for power systems using cultural algorithm", Proceeding of the IEEE/ENERGYCON, pp. 446-450, Cavtat, Croatia, May 2014.

[12] G. Naresh, M.R. Raju, S.V.L. Narasimham, "Coordinated design of power system stabilizers and TCSC employing improved harmony search algorithm", Swarmand Evolutionary Computation, Vol. 27, pp. 169–179, April 2016.

[13] M. Wolf, "The physics of computing", Journal of Statistical Physics, Elsevier, 2017.

[14] A. Oganesov, G. Vahala, L. Vahala, J. Yepez, M. Soe, "Benchmarking the dirac-generated unitary lattice qubit collision-stream algorithm for 1D vector manakov soliton collisions", Computers and Mathematics with Applications, Vol. 72, No. 2, pp. 386–393, July 2016.

[15] K.H. Han, J.H. Kim, "Quantum-inspired evolutionary algorithm with a new termination criterion, H gate and two phase scheme", IEEE Trans. on Evolutionary Computation, Vol. 8, No. 2, pp.156–169, April 2004.

[16] A.K. Beheshti, S.R. Hejazi, "A Quantum evolutionary algorithm for the vehicle routing problem with delivery time cost", International Journal of Industrial Engineering and Production Research, Vol. 25, No. 4, pp. 287-295, Dec. 2014.

[17] F. Olivas, F. Valdez, O. Castillo, C.I. Gonzalez, G. Martinez, P. Melin, "Ant colony optimization with dynamic parameter adaptation basedon interval type-2 fuzzy logic systems", Applied Soft Computing, Vol. 53, pp. 74–87, April 2017.

[18] M. Bakhshi, M.H. Holakooie, A. Rabiee, "Fuzzy based damping controller for TCSC using local measurements to enhance transient stability of power systems", Electrical Power and Energy Systems, Vol. 85, pp. 12–21, Feb.2017. 

[19] A. Khodabakhshian, 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.

[20] F. Milano, "Power system modeling and scripting", Springer london dordrecht heidelberg New York, New York, 2010.

[21] S. Behera, M. Tripathy, J. K. Satapath, "Optimal placement and sizing of SVC for load margin improvement using BF algorithm", World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, Vol. 8, No. 10, pp. 1653–1658, 2014.

[22] E. Afzalan, 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, pp. 1003–1017, Dec. 2013.