Title :
Optimal distribution network reconfiguration using dynamic fuzzy based genetic algorithm
Author :
Asrari, A. ; Lotfifard, Saeed
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
Abstract :
Optimal reconfiguration of power distribution systems is a complex combinatorial optimization problem with the purpose of identifying a radial network that optimizes given objectives. In this paper, a dynamic fuzzy-based genetic algorithm is presented to find an optimal configuration for the distribution networks that minimizes the total power loss of the network. The efficiency of the proposed algorithm is demonstrated by its application on a 33-bus distribution system. The simulation results demonstrate the superior performance of the proposed method compared to the classic genetic algorithm based methods.
Keywords :
distribution networks; fuzzy set theory; genetic algorithms; 33-bus distribution system; dynamic fuzzy based genetic algorithm; optimal distribution network reconfiguration; Biological cells; Convergence; Genetic algorithms; Heuristic algorithms; Optimization; Sociology; Statistics; crossover; fuzzy membership function; genetic algorithm (GA); mutation; network reconfiguration; power loss; sectionalizing and tie switches; trial and error process;
Conference_Titel :
Innovations in Technology Conference (InnoTek), 2014 IEEE
Conference_Location :
Warwick, RI
DOI :
10.1109/InnoTek.2014.6877364
