Optimal Distributed Energy Resources Mix for Distribution Network Planning with a Multiobjective Criterion

Abstract

The paper presents a multi-objective technique for getting the optimal planning parameters of distributed energy resource (DER) mix in a distribution network, considering both technical and fiscal factors. Three different real power distributed generation (DG) systems solar photovoltaic (PV), wind and biomass are considered with a limitation to the employment of solar PV only at the day-time. The optimal planning parameters including the investment cost of the DERs are obtained using particle swarm optimization (PSO) technique as per a pre-specified daily mean hourly load profile. The proposed methodology is tested on a 69 node radial distribution network. Simulation results are shown to verify the benefits of the proposed method