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
         
        
        
            fDate : 
Aug. 31 2010-Sept. 3 2010
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Universities Power Engineering Conference (UPEC), 2010 45th International
         
        
            Conference_Location : 
Cardiff, Wales
         
        
            Print_ISBN : 
978-1-4244-7667-1