Energy Management for EV Charging Based on Solar Energy in an Industrial Microgrid
Murat Akil, Emrah Dokur, Ramazan Bayındır
Abstract
Today, energy is a strategic value and became a phenomenon that shows the level of development of countries. With the increase in energy consumption in many countries, the efficient use of resources in energy production has gained importance. Integration of renewable energy generation with EV has become one of the new trends for optimal use of Renewable Energy Resources (RES), meeting energy demand, improving grid stability and sustainability. In this paper, energy management of EV charging based on PV system for an Industrial Microgrid (IMG) is presented to provide EV load shaving service and optimize the cost of charging electrical energy. Using the travel behaviors of EVs, daily charging energy is investigated and Monte Carlo Simulation (MCS) based on statistical data is applied to determine driving time for EVs. By analyzing the battery charge properties of EVs, the initial state of charge (SOC) is calculated, and the total charge power and the charging time of EVs are obtained in the analysis. Using the data obtained from 673.42 kWp a solar power plant (SPP) named Harput-SPP, the analysis of 5,000 EV charge loads is developed in the model created on the MATLAB/Simulink software platform.