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Multi-objective PSO based optimal placement of solar power DG in radial distribution system

Ever increasing trend of electricity demand, fossil fuel depletion and environmental issues request the integration of renewable energy into the distribution system. The optimal planning of renewable distributed generation (DG) is much essential for ensuring maximum benefits. Hence, this paper propo...

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Main Authors: Mahesh, K., Nallagownden, P., Elamvazuthi, I.
Format: Article
Published: Engineering and Scientific Research Groups 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020124350&partnerID=40&md5=1defcf6ec1703ec7e0ecea964a2002bd
http://eprints.utp.edu.my/19483/
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spelling my.utp.eprints.194832018-04-20T06:01:33Z Multi-objective PSO based optimal placement of solar power DG in radial distribution system Mahesh, K. Nallagownden, P. Elamvazuthi, I. Ever increasing trend of electricity demand, fossil fuel depletion and environmental issues request the integration of renewable energy into the distribution system. The optimal planning of renewable distributed generation (DG) is much essential for ensuring maximum benefits. Hence, this paper proposes the optimal placement of probabilistic based solar power DG into the distribution system. The two objective functions such as power loss reduction and voltage stability index improvement are optimized. The power balance and voltage limits are kept as constraints of the problem. The non-sorting pareto-front based multi-objective particle swarm optimization (MOPSO) technique is proposed on standard IEEE 33 radial distribution test system. © JES 2017. Engineering and Scientific Research Groups 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020124350&partnerID=40&md5=1defcf6ec1703ec7e0ecea964a2002bd Mahesh, K. and Nallagownden, P. and Elamvazuthi, I. (2017) Multi-objective PSO based optimal placement of solar power DG in radial distribution system. Journal of Electrical Systems, 13 (2). pp. 322-331. http://eprints.utp.edu.my/19483/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Ever increasing trend of electricity demand, fossil fuel depletion and environmental issues request the integration of renewable energy into the distribution system. The optimal planning of renewable distributed generation (DG) is much essential for ensuring maximum benefits. Hence, this paper proposes the optimal placement of probabilistic based solar power DG into the distribution system. The two objective functions such as power loss reduction and voltage stability index improvement are optimized. The power balance and voltage limits are kept as constraints of the problem. The non-sorting pareto-front based multi-objective particle swarm optimization (MOPSO) technique is proposed on standard IEEE 33 radial distribution test system. © JES 2017.
format Article
author Mahesh, K.
Nallagownden, P.
Elamvazuthi, I.
spellingShingle Mahesh, K.
Nallagownden, P.
Elamvazuthi, I.
Multi-objective PSO based optimal placement of solar power DG in radial distribution system
author_facet Mahesh, K.
Nallagownden, P.
Elamvazuthi, I.
author_sort Mahesh, K.
title Multi-objective PSO based optimal placement of solar power DG in radial distribution system
title_short Multi-objective PSO based optimal placement of solar power DG in radial distribution system
title_full Multi-objective PSO based optimal placement of solar power DG in radial distribution system
title_fullStr Multi-objective PSO based optimal placement of solar power DG in radial distribution system
title_full_unstemmed Multi-objective PSO based optimal placement of solar power DG in radial distribution system
title_sort multi-objective pso based optimal placement of solar power dg in radial distribution system
publisher Engineering and Scientific Research Groups
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020124350&partnerID=40&md5=1defcf6ec1703ec7e0ecea964a2002bd
http://eprints.utp.edu.my/19483/
_version_ 1738656076570558464
score 13.18916

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