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Multi-objective PSO based optimal placement of solar power DG in radial distribution system
Joint Authors
Nallagownden, Perumal
Elamvazuthi, Irraivan
Kumar, Mahesh
Source
Issue
Vol. 13, Issue 2 (30 Jun. 2017), pp.322-331, 10 p.
Publisher
Publication Date
2017-06-30
Country of Publication
Algeria
No. of Pages
10
Main Subjects
Topics
Abstract EN
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.
American Psychological Association (APA)
Kumar, Mahesh& Nallagownden, Perumal& Elamvazuthi, Irraivan. 2017. Multi-objective PSO based optimal placement of solar power DG in radial distribution system. Journal of Electrical Systems،Vol. 13, no. 2, pp.322-331.
https://search.emarefa.net/detail/BIM-748165
Modern Language Association (MLA)
Kumar, Mahesh…[et al.]. Multi-objective PSO based optimal placement of solar power DG in radial distribution system. Journal of Electrical Systems Vol. 13, no. 2 (2017), pp.322-331.
https://search.emarefa.net/detail/BIM-748165
American Medical Association (AMA)
Kumar, Mahesh& Nallagownden, Perumal& Elamvazuthi, Irraivan. Multi-objective PSO based optimal placement of solar power DG in radial distribution system. Journal of Electrical Systems. 2017. Vol. 13, no. 2, pp.322-331.
https://search.emarefa.net/detail/BIM-748165
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 330-331
Record ID
BIM-748165