Title

Optimal Distribution Network Reconfiguration Using Dynamic Fuzzy Based Genetic Algorithm

Keywords

crossover; fuzzy membership function; genetic algorithm (GA); mutation; network reconfiguration; power loss; sectionalizing and tie switches; trial and error process

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. © 2014 IEEE.

Publication Date

1-1-2014

Publication Title

Digest of Technical Papers - InnoTek 2014: 2014 IEEE Innovations in Technology Conference

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/InnoTek.2014.6877364

Socpus ID

84906771490 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84906771490

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