Distribution network forecasting and expansion planning with optimal location and sizing of solar photovoltaic-based distributed generation

Abstract

Load forecasting is the prediction of demand for a future period, and it is a critical necessity for distribution system design and growth while also meeting all operational and technical constraints. In this paper, an analytical least squares extrapolation technique is applied to determine the optimal size and location of solar photovoltaic (SPV)-based distributed generation (DG) in the distribution system. The integration of SPV DG changes the operating characteristics of modern power systems, resulting in significant economic and technical outcomes such as minimizing losses and improving the voltage profile. The proposed work was performed on a practical Yirgalem-I distribution network in Ethiopia. The modeling and simulation of this feeder have been carried out using ETAP and MATLAB software. Simulation results show that the injection of active and reactive powers at the optimal buses reduces the active and reactive power losses by 94.03% and 96.07%, respectively, with an improved voltage profile.