DocumentCode
2057300
Title
The NSGA-II based computation for the multi-objective reconfiguration problem considering the power supply reliability
Author
Jianlin Yang ; Chengqiang Zhou ; Jian Sun ; Jieming Xu ; Jun Qi
Author_Institution
SMEPC, Jinshan Power Supply Co., Shanghai, China
fYear
2012
fDate
10-14 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
The multi-objective reconfiguration model, considering the losses, the compositive voltage deviation and the system reliability, is developed in this paper. The NSGA-II method is applied to solve the model. In the decoding process, the random spanning tree strategy is adopted to avert the emergency of unfeasible solution; in the selection process, any two individuals are compared based on their rank values and crowding distances. In addition, the elitism strategy is also used to make sure that the good individuals in father population can be remained in the evolution process. The results demonstrate the validity and efficiency of the proposed model and algorithm.
Keywords
decoding; genetic algorithms; power distribution reliability; NSGA-II based computation; compositive voltage deviation; decoding process; elitism strategy; multiobjective reconfiguration problem; nondominated sorting genetic algorithm-II; power supply reliability; random spanning tree strategy; Pareto optimal solution; average service unavailability index; non-dominated sorting genetic algorithm-II; random spanning tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location
Shanghai
ISSN
2161-7481
Print_ISBN
978-1-4673-6065-4
Electronic_ISBN
2161-7481
Type
conf
DOI
10.1109/CICED.2012.6508458
Filename
6508458
Link To Document