UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 4 Issue 12
December-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1712013


Registration ID:
171031

Page Number

60-66

Share This Article


Jetir RMS

Title

Fuzzy-Genetic Approach for Reconfiguration of Electric Distribution System

Abstract

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.

Cite This Article

"Fuzzy-Genetic Approach for Reconfiguration of Electric Distribution System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.60-66, December-2017, Available :http://www.jetir.org/papers/JETIR1712013.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Fuzzy-Genetic Approach for Reconfiguration of Electric Distribution System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp60-66, December-2017, Available at : http://www.jetir.org/papers/JETIR1712013.pdf

Publication Details

Published Paper ID: JETIR1712013
Registration ID: 171031
Published In: Volume 4 | Issue 12 | Year December-2017
DOI (Digital Object Identifier): http://doi.one/10.1717/JETIR.17125
Page No: 60-66
Country: Kolhapur., Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003182

Print This Page

Current Call For Paper

Jetir RMS