UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905N88


Registration ID:
213158

Page Number

585-589

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Title

Optimal siting and sizing of distributed generation system in radial distribution network using particle swarm optimization technique

Abstract

Power losses and voltage profile maintenance are the biggest restrictions of existing power system. In this paper we are suggesting optimal siting of optimal sized distributed generation system in the existing radial distribution network at the bus having maximum power losses. These power losses will be calculated by load flow analysis and particle swarm optimization technique has been applied for optimal siting and sizing of distributed generation system in the existing radial distribution system. The testing of optimal siting and sizing of distributed generation system will be done at IEEE 69 bus radial distribution network by particle swarm optimization technique. This will minimize the power losses and enhance the voltage profile.

Key Words

Distributed Generation (DG), Radial distribution network (RDN), Particle swarm optimization technique (PSO).

Cite This Article

"Optimal siting and sizing of distributed generation system in radial distribution network using particle swarm optimization technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.585-589, May-2019, Available :http://www.jetir.org/papers/JETIR1905N88.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

"Optimal siting and sizing of distributed generation system in radial distribution network using particle swarm optimization technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp585-589, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N88.pdf

Publication Details

Published Paper ID: JETIR1905N88
Registration ID: 213158
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 585-589
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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