A New Method for Network Reconfiguration of the Shipboard Power System

Abstract:

The Multi-objective Optimal AlgorithmNSGA-II for Network reconfiguration of the shipboard power system is proposed to overcome the shortcomings of single objective optimal algorithm. This paper chooses the least of lost loads and cost of switch operation as objective function, uses capacity and structure as constraints, codes two-dimensional gene with switch and uses NSGA-II to solve the multi-objective and multi-restriction network reconfiguration problem. The test results of a typical integrated power system show that the model can balance each objective to avoid extreme results, which make restoration schemes more practical.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 1283-1287
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.1283
• Online since: August 2013
• Authors: Xuan Fang Yang, Jia Lin Wang
• Keywords: Multi-Objective Optimal Algorithm, Network Reconfiguration, Shipboard Power System

References

[1] ZHANG Yi, YANG Xiuxia. Review of shipboard power system network reconfiguration [J]. Transactions of China Electrotechnical Society, 2005, 20(8): 1-6.

[2] HUANG K, CARTES D A, SRIVASTAVA S K. A. Multiagent-based algorithm for ring-structured shipboard power system reconfiguration [J]. IEEE Transactions on System, Man and Cybernetics, Part C: Applications and Reviews, 2007, 37(5): 1016-1021.

DOI: 10.1109/tsmcc.2007.900643

[3] Yang Xiuxia, Zhang Xiaofeng, Zhang Yi. Shipboard power system service restoration based on the accelerated genetic algorithm [J]. Transactions of China Electrotechnical Society, 2005, 20(5): 53-57.

[4] CHEN Yan, SUN Haishun, WEN Jinyu. Application of improved PSO algorithm in network reconfiguration of shipboard power system [J]. Electric Power Automation Equipment, 2011, 31(3): 29-34.

[5] Wei Zhibo, Liu Yan, Gu Xueping. DPSO algorithm based network reconfiguration of power systems for maximizing load recovery efficiency [J]. Automation of Electric Power Systems, 2007, 31(1): 38-42.

[6] LI Zhe, XIA Li. Service Reconfiguration of Shipboard Power System Using Improved Ant Colony Algorithm [J]. Proceedings of the CSU–EPSA, 2009, 21(2): 47-52.

[7] ZHU Zhiyu, LIU Weiting, ZHUANG Xiaobo. Shipboard power system service restoration based on clonal algorithm [J]. Transactions of China Electrotechnical Society, 2009, 24(1): 164-170.

[8] Huang Jing, Zhang Xiaofeng, Chen Yan. Multi-objective Optimal Model of Service Restoration for integrated Ship Power System and Its Application [J]. Transactions of China Electrotechnical Society, 2010, 25(3): 130-137.

[9] Feng Shigang, Ai Qian. Application of Fast and Elitist Non-Dominated Sorting Generic Algorithm in Multi-Objective Reactive Power Optimization [J]. Transactions of China Electro technical Society, 2007, 22(12): 146-151.

[10] Srinivas N, Kalyanmoy Deb. Multi-objective optimizationusing non-dominated sorting in genetic algorithms [J]. Evolutionary Computation, 1994, 2 (3): 221-248.

DOI: 10.1162/evco.1994.2.3.221