DocumentCode :
3388073
Title :
A multi-objective meta-heuristic method for distribution network optimization
Author :
Mori, Hisamichi ; Shimomugi, K.
Author_Institution :
Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki, Japan
fYear :
2010
fDate :
May 30 2010-June 2 2010
Firstpage :
3457
Lastpage :
3460
Abstract :
In this paper, a new method is proposed for network loss and voltage deviation minimization in distribution networks. The proposed method makes use of multi-objective meta-heuristics (MOMH) that evaluates a set of the Pareto solutions systematically. The power networks become more deregulated and competitive due to the power liberalization. Hence, the cost minimization has been recognized as one of the most important factors in distribution systems. To compete with other players, saving the cost is of main concern in distribution companies This paper focuses on network reconfigurations and capacitor control to minimize the two objective functions of the network loss and voltage deviation minimization. The formulation may be expressed as a combinatorial optimization problem. It needs to use MOMH to evaluate a set of the Pareto solutions for the two objective functions. As MOMH, this paper uses SPEA2 to solve the minimization problem. The proposed method is successfully applied to the 69-node distribution system.
Keywords :
Pareto optimisation; distribution networks; power markets; Pareto solution; cost minimization; distribution network optimization; multiobjective meta heuristic method; power liberalization; power market; power network; voltage deviation minimization; Automation; Bioinformatics; Cost function; Minimization methods; Optimization methods; Reactive power control; Regulators; Switched capacitor networks; Switches; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
Type :
conf
DOI :
10.1109/ISCAS.2010.5537840
Filename :
5537840
Link To Document :
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