Overview on Distribution Network Service Restoration Methods

Abstract:

After a distribution network failure occurs, how to correctly and quickly restore power supply to non-fault zone is of great significance to meet the user's power supply requirement and to improve power supply reliability. At first, this paper introduces the research status of service restoration algorithm of distribution network, and then analyzes the advantages and disadvantages of various algorithms. At last, it expounds the problems existing in the current distribution network service restoration and makes prospect of research on the distribution network service restoration.

• Periodical: Advanced Materials Research (Volume 811)
• Pages: 677-680
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.811.677
• Online since: September 2013
• Authors: You Jie Ma, Kun Zhou, Xue Song Zhou
• Keywords: Distribution Network Failure, Service Restoration, Service Restoration Algorithm

References

[1] J. Nahman, G. Strbac. A new algorithm for service restoration in large-scale urban distribution system. Electric Power Systems Research, 1994, 29: 181~192.

DOI: 10.1016/0378-7796(94)90013-2

[2] K. Aoki, T. Satoh, H. itohetal. Voltage drop constrained restoration of supply by switch operation in distribution systems. IEEE Trans on Power Delivery, 1988, Vol. 3, No. 3: 1267~1274.

DOI: 10.1109/61.193912

[3] R.M. Ciric, D.S. Popovic. Multi-objective distribution network restoration using heuristic approach and mix integer programming method. Electrical Power and Energy Systems, 22(2000): 497~505.

DOI: 10.1016/s0142-0615(00)00018-1

[4] A.L. Morelato,A. Monticelli. Heuristic Search Approach to Distribution System Restoration. IEEE Ttans. on PWRD, 1989, 4(4): 2235~2241.

DOI: 10.1109/61.35652

[5] T a l o r T, L n b k e m a n D . Implemention of Heuristic Search Strategies for Distribution Feeder Reconfiguration. IEEE Trans. on PWRD, 1990, 5(1): 239~246.

[6] J.S. Wu, KL. TomsoVic, C.S. Chen. A Heuristic Search Approach to Feeder Switching Operations for Overload, Faults, Unbalanced Flow and Maintenance. IEEE Trans. on PWRD, 1991, 6(4): 1579~1585.

DOI: 10.1109/61.97695

[7] VS. Deni D.P. Sen Gupta, GAnandalingam. Optimal Restoration of Power Supply in Large Distribution Systems in Developing Countries. IEEE Trans. On PWRD, 1995, 10(1): 430~438.

DOI: 10.1109/61.368370

[8] ZHU Jun, XUE Yu-sheng. An expert system for restoration of distribution systems [J]. Automation of Electric Power Systems, 1991, 15(3): 22-28.

[9] Chen C S, Lin C H, Tsai H Y. A rule-based expert system with colored Petri net models for distribution system service restoration [J]. IEEE Transactions on Power Systems, 2002, 17 (4): 1073- 1080.

DOI: 10.1109/tpwrs.2002.804947

[10] Menshen Tsai. Development of an object-oriented service restoration expert system with load variations [J]. IEEE Transactions on Power Systems, 2008, 23(1): 219-225.

DOI: 10.1109/tpwrs.2007.907585

[11] Jaw~Shyang Wu A Petri net algorithm multiple contingencies of distribution system operation. IEEE Trans Power Systems, 1998, Vol. 13, No. 3: 1164~1171.

DOI: 10.1109/59.709115

[12] Yuan~Yih Hsu. Han~Ching Ku0. A heuristic Based Fuzzy Reasoning Approach for Distribution System Service Restoration. IEEE Trans. on PWRD, 1994, 9(2): 948~953.

DOI: 10.1109/61.296277

[13] Yanping, Zhangguang. A rapid and efficient algorithm for Distribution Network Restoration. Automation of Electric Power Systems [J], 2000, 24(4): 52~56.

[14] Watanabe I. An ACO algorithm for service restoration in power distribution systems[C]. The 2005 IEEE Congress on Evolutionary Computation, Vol3: 2864-2871.

DOI: 10.1109/cec.2005.1555054

[15] ZHANG Ya, YANG li-xi, LIU Dong, et al. Ant colony algorithm for service restoration reconfiguration in distribution networks [J]. Electrotechnical Application, 2007, 9(26)41-44.

[16] LU Zhi-gang, WEN Ying, YANG Li-jun. An improved ACO algorithm for service restoration in power distribution systems[C]. Power and Energy Engineering Conference Asia-Pacific in Wuhan, 2009: 1-4.

DOI: 10.1109/appeec.2009.4918137