%I Engineering and Scientific Research Groups
%V 13
%A K. Mahesh
%A P. Nallagownden
%A I. Elamvazuthi
%T Multi-objective PSO based optimal placement of solar power DG in radial distribution system
%P 322-331
%X 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.
%K Distributed power generation; Fossil fuels; Particle swarm optimization (PSO); Photovoltaic cells; Probability distributions; Screening; Solar energy; Voltage control, Distribution systems; Integration of renewable energies; Multi objective; Multi objective particle swarm optimization; Radial distribution systems; Renewable distributed generations; Solar PVs; Voltage stability index, Multiobjective optimization
%L scholars8639
%J Journal of Electrical Systems
%O cited By 6
%N 2
%D 2017