DocumentCode :
535539
Title :
Application of parameter-free genetic algorithm to outage planning for electric power facilities maintaining high power supply reliability
Author :
Kawahara, Koji ; Okahira, Hayato
Author_Institution :
Hiroshima Inst. of Technol., Hiroshima, Japan
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a formulation of outage planning for electric power facilities treated as a combinatorial optimization problem considering power supply reliability. The indices are defined as power supply shortage assuming N-2 contingencies and transmission loss assuming N-1 contingencies. A lot of constraints are also introduced to this problem with respect to the allocation of outage works and the determination of system configurations. Since solving the problem is so hard due to combinatorial explosions, we apply a parameter-free genetic algorithm (PfGA) to obtain feasible solutions. The PfGA is unnecessary to adjust genetic parameters such as crossover and mutation rates. As a result, the PfGA contributes to improve the solutions compared with simple genetic algorithm (SGA).
Keywords :
combinatorial mathematics; facilities planning; genetic algorithms; reliability; N-1 contingency; N-2 contingency; PfGA; combinatorial optimization problem; crossover rates; electric power facility; high power supply reliability; mutation rates; outage planning; parameter-free genetic algorithm; transmission loss; Companies; Genetics; Planning; Power supplies; Power system reliability; Reliability; Outage Planning for Electric Power Facilities; Parameter-free Genetic Algorithm (PfGA); Power Supply Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2010 45th International
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-1-4244-7667-1
Type :
conf
Filename :
5648854
Link To Document :
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