A New Method Based on Artifıcial Bee Colony Algorithm for the Optimal Location of Shunt Connected Facts Devices

Öz

In this paper, a new and easy to implement heuristic method related to the Artificial Bee Colony (ABC) algorithm is proposed for the optimal location of shunt connected Flexible AC transmission systems (FACTS) devices such as Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM) randomly and dynamically. Voltage stability enhancement, voltage profile improvement and active power loss minimization by using minimum number of devices and var compensator sizing are defined as the objective functions for the proposed methodology. Optimization results of the bi-objective and multi-objective functions are compared with the results reported in literature. Also, by comparing the results obtained by using ABC algorithm and Differential Evolution (DE) method, it can be stated that proposed algorithm can converge to better results by using minimum device number.

Anahtar Kelimeler

• Artificial bee colony,power systems,statcom,svc,voltage stability

Kaynakça

1. [1] Mark Ndubuka Nwohu , “Voltage Stability Improvement using Static Var Compensator in Power Systems”, Leonardo Journal of Sciences , 14, (2009): 167-172
2. [2] 1moh Moh M. Aung and Soe W. Naing, “Voltage Stability Improvement Using Static VAR Compensator With Fuzzy Logic Controller” , International Journal of Advanced Computational Engineering and Networking, , 4(8) (2016).
3. [3] Sarita S. Bhole , Prateek Nigam, “Improvement of Voltage Stability in Power System by Using SVC and STATCOM”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 4(2) (2015).
4. [4] S. Robak, M. Januszewski and D.D. Rasolomampionona, “Power system stability enhancement using PSS and UPFC Lyapunov-based controllers: A comparative study”, Proc. of the Bologna Power Tech Conference Bologna, Italy, (2003): 23-26.
5. [5] D.A. Ingole and V.N.Gohokar, “Voltage Stability Improvement In Multi-bus System Using Static Synchronous Series Compensator Energy Procedia 117 (2017): 999–1006
6. [6] Romana Pradhan and Mohammed Nasir Ansari, “Voltage Stability Enhancement using Static VAR Compensator (FC-TCR).” , International Journal of Scientific & Engineering Research, 6(2) (2015).
7. [7] C.S. Chang , J.S. Huang. “Optimal SVC placement for voltage stability reinforcement.” Electric Power Systems Research 42 (1997): 165-172.
8. [8] Tjing T Lie, Wanhong Deng. “Optimal Flexible AC Transmission Systems (FACTS)devices allocation.” Electrical Power & Energy Systems, 19(2) (1997): 125-134.

9. [9] S. Gerbex, R. Cherkaoui, A.J. Germond. “Optimal location of multi-type FACTS devices in power system by means of genetic algorithm.” IEEE Trans. on Power Systems 16(3) (2001).
10. [10] Abacı K., Yamaçlı V., Akdağlı A. “Optimal power flow with SVC devices by using artificial bee colony algorithm.” Turkish Journal Of Electrical Engineering & Computer Sciences, DOI: 10.3906/elk-1305-55.
11. [11] M.M. Farsangi, H. Nezamabadi-Pour, K.Y. Lee “Multi-objective VAR planning with SVC for a large power system using PSO and GA.” in: Proceeding of Power System Conference & Exposition, (2006): 274–279.
12. [12] Benabid R., Boudour M., Abido M.A. “Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization.” Electric Power Systems Research 79 (2009): 1668–1677.
13. [13] Hsiao Y.T., Liu C.C., Chiang H.D. “A new approach for optimal VAR sources planning in large scale electric power systems.” IEEE Trans. Power Syst,8 (1993): 988–996.
14. [14] Kazemi A., Parizad A. , Baghaee H. “On the use of harmony search algorithm in optimal placement of FACTS devices to improve power system security.” Proceedings of the IEEE Eurocon,Tehran, Iran, (2009): 570-576.
15. [15] Sirjani R., Mohamed A., Shareef H. “Optimal placement and sizing of Static Var Compensators in power systems using Improved Harmony Search Algorithm.” Przegl¹d Elektrotechniczny,87(7) (2011): 214-218.
16. [16] Acha E, Claudio R, Ambriz-Perez H, Angeles-Camacho C. “Facts modelling and simulation in power networks” New York: John Wiley and Sons, 2004.
17. [17] Erinmez, I.A., Foss, I., and I.C.o.l.h.V.E.systems, Static Synchronous compensator (STATCOM) : Cigre,1999
18. [18] D. Karaboga, B. Akay. “A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems.” Applied Soft Computing, 11(3) (2011): 3021-3031.
19. [19] O. Alsac, B. Sttot. “Optimal load flow with steady state security.” IEEE Transactions on Power Apparatus and Systems, 93 (1974): 745–751.
20. [20] Udgir S., Varshney S., Srivastava L. “Optimal Placement and Sizing of SVC for Voltage Security Enhancement.” International Journal of Computer Applications, 32(6) (2011).
21. [21] Subbaraj P, Rajnarayanan PN. “Optimal reactive power dispatch using self adaptive real coded genetic algorithm.” Electrical Power Systems, 79 (2009): 374–81.
22. [22] Mahadevan K, Kannan PS. “Comprehensive learning particle swarm optimization for reactive power dispatch.” Applied Soft Computing, 10 (2010): 641–52.
23. [23] Ela AAAE, Abido MA, Spea SR. “Differential evolution algorithm for optimal reactive power dispatch.” Elec. Power Syst Res, (2011): 458–464
24. [24] Bhattacharya A, Chattopadhyay PK. “Solution of optimal reactive power flow using biogeography-based optimization.” Int J Electr Electron Eng, 4(8) (2010): 568–76.
25. [25] Duman S, Sönmez Y, Güvenc U, Yorukeren N. “Optimal reactive power dispatch using a gravitational search algorithm.” IET Gener Transm Distrib, 6(6) (2012): 563–76.
26. [26] Shaw B. , Mukherjee V., Ghoshal S.P., “Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm.” International Journal of Electrical Power & Energy Systems 55 (2014) 29–40.
27. [27] M. Rezaei Adaryani, A. Karami Artificial bee colony algorithm for solving multi- objective optimal power flow problem.” Electrical Power and Energy Systems 53 (2013) 219–230.
28. [28] Abido M.A., “Optimal power flow using particle swarm optimization.” Int.j Electr. Power Energy Syst. 24(7):563-571.
29. [29] Kumaraswamy and P. Ramanareddy. Analysis of Voltage Stability using L-Index Method,(2011): 483-498.
30. [30] D. Devaraj, J. Preetha Roselyn. “Genetic algorithm based reactive power dispatch for voltage stability improvement.” Electrical Power and Energy Systems 32 (2010): 1151–1156.
31. [31] Yujiao Zeng and Yanguang Sun. “Application of hybrid MOPSO algorithm to optimal reactive power dispatch problem considering voltage stability.” Journal of Electrical and Computer Engineering, Volume 2014, Article ID 124136.