Title :
An improved genetic algorithm for distribution system reconfiguration
Author :
Ming, Zhang ; Pengxiang, Bi ; Jian, Liu ; Wenyuan, Zhang
Author_Institution :
Electr. Power Coll., Xi´´an, China
Abstract :
Making use of the features of radial distribution systems, a chromosome coding method and genetic operation strategies were developed. Crossover operations were defined as to exchange the same template while mutation operations and inversion operations are restricted in the template. The above strategies greatly reduce the infeasible solutions produced during genetic operations. Further, a simplifying power distribution method was also proposed to reduce the length of chromosome and reciprocal value of the active power losses as the fitness function. The above measures improve the performance of genetic algorithms for distribution reconfiguration. Several tests were conducted and the results have shown that the proposed algorithm has advantages over other previously developed algorithms.
Keywords :
genetic algorithms; losses; power distribution planning; active power losses; chromosome coding method; crossover operations; distribution system reconfiguration; fitness function; genetic operation strategies; improved genetic algorithm; inversion operations; mutation operations; simplifying power distribution method; Biological cells; Bismuth; Convergence; Educational institutions; Genetic algorithms; Genetic mutations; Power distribution; Power engineering and energy; Switches; Voltage;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1067829