A Novel Approach to Utilization V2G Technology in Microgrid Environment

This article presents novel approach to Vehicle To Grid technology in microgrid environment with Demand Side Response (DSR) algorithm and implementing control unit for energy flow management cooperating with the distribution network. Our DSR algorithm called Active Demand Side Management is based on Non-dominated sorting genetic algorithm II. This article describes microgrid control system which we used on physical testing platform. The physical testing platform is microgrid that simulates small-scale microgrid environment whose primary stochastic energy source is photovoltaic plant. At this scale, the stochasticity of this energy source represents massive challenge in balancing energy between production and consumption. The aricle is divided into two main experiments. The first experiment includes three scenarios representing electricity consumption in three ordinary households, exploiting small-scale microgrid during four seasons. Every scenario in experiment includes comparison of microgrid missing energy with optimalisation, Electric Vehicle (EV) and with tariff mode. The second experiment deals with effect of the size of the static microgrid battery capacity on missing energy and efficiency of optimisation itself. The results of this simulation point to fundamentally positive impact of optimisation control system, which used EV on potential missing energy in microgrid in conditions of Central Europe.