Load Shedding and Forecasting in Distribution Systems with PV-based Distributed Generation and Electric Vehicles

The aim of the paper is to investigate the load shedding and forecasting in distribution networks with PV-based Distributed Generation (DG) and Plug-in Electric Vehicles (PEVs). Advancement in technology, especially in the transportation sector, has brought the focus of conventional vehicles to PEVs. In order to fast-charge the PEV with minimum effect on the grid, and to meet the necessary energy demand, renewable energy solutions are a promising candidate. To present grid-friendly solutions, first, the paper analyzes the load curves (a base load in addition to uncoordinated PEV charging load) with a designed Energy Storage System (ESS) for load shedding. Then a PV system is employed to support the ESS, therefore reducing its cost and size. At last, forecasting of the demand is conducted in order to meet the need within a short term. Simulation results are presented for different scenarios. The results obtained from the forecast show potentials, and the analysis of the ESS shows a steady load demand. The solution provided can be further researched for analyzing other prospective problems.