Title :
Refined genetic algorithm for minimum-loss reconfiguration of electrical distribution network
Author :
Zhu, Jizhong ; Chang, C.S.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
This paper proposes a model of distribution network reconfiguration (DNRC) to minimize the system power loss. A refined genetic algorithm (GA) is set up, in which some improvements are made on chromosome coding, fitness function and mutation pattern. As a result, premature convergence is avoided. The proposed approach is tested on 16 bus and 33-bus distribution networks. Study results are given in the paper
Keywords :
distribution networks; genetic algorithms; losses; 16 bus distribution network; 33-bus distribution network; artificial intelligence; chromosome coding; distribution network reconfiguration; fitness function; minimum-loss reconfiguration; mutation pattern; power loss minimisation; refined genetic algorithm; Artificial intelligence; Biological cells; Convergence; Distributed computing; Genetic algorithms; Genetic mutations; Power system modeling; Switches; Testing; Tree graphs;
Conference_Titel :
Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on
Print_ISBN :
0-7803-4495-2
DOI :
10.1109/EMPD.1998.702711
