DocumentCode :
2721115
Title :
A parallel meta-heuristic method for distribution network loss reduction with network reconfiguration and capacitor control
Author :
Mori, H. ; Komatsu, Y.
Author_Institution :
Dept. of Electron. & Bioinf. Eng., Meiji Univ., Kawasaki, Japan
fYear :
2009
fDate :
26-30 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a novel method for distribution network loss minimization in distribution networks. The proposed method makes use of parallel meta-heuristics under PC cluster environment The liberalization of power networks with distributed generation makes distribution networks more complicated. To compete with other players, saving cost is of main concern. In this paper, a unified method is proposed to minimize the network loss with both network reconfiguration and capacitor control The formulation may be expressed as a combinatorial optimization problem. In this paper, parallel meta-heuristic method is proposed to solve the problem. The proposed method evaluates the solution with the PC cluster system. The proposed method is tested in sample systems.
Keywords :
combinatorial mathematics; distributed power generation; optimisation; power capacitors; power distribution control; PC cluster system; capacitor control; combinatorial optimization problem; distributed generation; distribution network loss reduction; network reconfiguration; parallel metaheuristic method; power networks; saving cost; Clustering algorithms; Concurrent computing; Costs; Distributed control; Equations; Minimization methods; Power systems; Switched capacitor networks; Switches; Voltage; Genetic algorithm; Memetic algorithm; Meta-heuristics; Optimization; Parallel computation; Power distribution control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5230-9
Electronic_ISBN :
978-1-4244-5230-9
Type :
conf
DOI :
10.1109/TD-ASIA.2009.5356970
Filename :
5356970
Link To Document :
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