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

Joint Authors

Nallagownden, Perumal
Elamvazuthi, Irraivan
Kumar, Mahesh

Source

Journal of Electrical Systems

Issue

Vol. 13, Issue 2 (30 Jun. 2017), pp.322-331, 10 p.

Publisher

Piercing Star House

Publication Date

2017-06-30

Country of Publication

Algeria

No. of Pages

10

Main Subjects

Electronic engineering

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