Work

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

Year: 2017

Type: article

Abstract: 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.

Source: Journal of Electrical Systems

Authors: Mahesh Kumar, Perumal Nallagownden, Irraivan Elamvazuthi

Institutions: Mehran University of Engineering and Technology, Universiti Teknologi Petronas

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4300419085

FWCI: 0.559

Cites:

Cited by: 7

Related to: 10