Title :
Improved Genetic Algorithm with Infeasible Solution Disposing of Distribution Network Reconfiguration
Author :
Yu, Jianming ; Zhang, Fan ; Ni, Feng ; Ma, Yuanshe
Author_Institution :
Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
An improved genetic algorithm with infeasible solution disposing of distribution network reconfiguration is proposed in this paper. Decimal encoding is improved and size of chromosome equals to the count of tie switches. Not only the discrimination of infeasible solution but also its corrective disposition under complex loops is given. In the evolution course, the ratio of feasible solution is 1, the valuable information that reflects the evolution is preserved mostly, and the problem of low efficiency and local optimum is avoided. Make the crossover and mutual operator adjusted adaptively and nonlinearly, enhances the convergence rate. The reconfiguration results of 69 bus system shows the feasibility and validity of the proposed method.
Keywords :
distribution networks; genetic algorithms; bus system; chromosome; decimal encoding; distribution network reconfiguration; genetic algorithm; tie switches; Genetic algorithms; Intelligent systems;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.194