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Volume 4 Issue 12
eISSN: 2349-5162

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Fuzzy-Genetic Approach for Reconfiguration of Electric Distribution System

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Electric Distribution System has tie and sectionalizing switches. The topological configuration of network is determined by their state. Due to various operational constraints and complex issues electric distribution network reconfiguration is combinatorial optimization problem. This paper presents a multi-objective adaptive fuzzy- Genetic approach to improve the efficiency of radial electric distribution network by reducing active power loss and node voltage deviation. Multiple objectives considered are minimizing the active power loss and minimizing node voltage deviation, subject to a radial network structure in which all loads must be energized. Evaluations of imprecise nature of these two objectives are modeled with fuzzy sets. Adaptive Genetic Algorithm is used to determine the network configuration that optimizes these objectives. The effectiveness of the proposed method is tested with IEEE 33 bus radial distribution system for minimization of system active power loss and reducing node voltage deviation.

Key Words

Electric Distribution Network, Fuzzy Logic, Genetic Algorithm, Optimization, Reconfiguration.

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"Fuzzy-Genetic Approach for Reconfiguration of Electric Distribution System", International Journal of Emerging Technologies and Innovative Research ( | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp60-66, December-2017, Available at : &

Publication Details

Published Paper ID: JETIR1712013
Registration ID: 171031
Published In: Volume 4 | Issue 12 | Year December-2017
DOI (Digital Object Identifier):
Page No: 60-66
ISSN Number: 2349-5162

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(Volume 5 | Issue 2 | February 2018 |Impact factor 5.87)

Call For Paper | Volume 5 | Issue 2 | Impact factor 5.87

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