DocumentCode
175705
Title
The application of binary particle swarm optimization in power restoration
Author
Zhiqiang Chong ; Zhihui Dai ; Shuhuan Wang ; Xuan Liu ; Yanjun Jiao ; Linghao Kong
Author_Institution
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
349
Lastpage
353
Abstract
When fault occurs in distribution network, relays of the distribution network trip and the distributed generations turn to the islanding operation mode to supply the surrounding load. So the distribution network without islanding operation part is outage. Taking this into consideration, this paper considers the restoration of distribution network without islanding operation part as a multi-objective optimization problem. The binary particle swarm optimization (BPSO) seeking Pareto Non-dominated solutions algorithm is introduced to solve the multi-objective optimization problem. The algorithm could reduce the switching frequency and the grid loss under the premise of minimum load loss. Finally, IEEE 33 nodes system is used to verifie the effectiveness of the presented algorithm.
Keywords
Pareto optimisation; distributed power generation; particle swarm optimisation; power distribution faults; power distribution reliability; power grids; power system restoration; BPSO; IEEE-33 node system; Pareto nondominated solution algorithm; binary particle swarm optimization; distributed generations; distribution network restoration; distribution network trip relay; grid loss; minimum load loss; multiobjective optimization problem; power restoration; switching frequency reduction; Circuit faults; Heuristic algorithms; Islanding; Optimization; Particle swarm optimization; Switching frequency; binary particle swarm optimization; distributed generation; non-dominated solution; power restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5150-5
Type
conf
DOI
10.1109/ICNC.2014.6975860
Filename
6975860
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