A novel approach to utilization vehicle to grid technology in microgrid environment

Abstract

This article presents a novel approach to the Vehicle To Grid (V2G) technology in a microgrid with a Demand Side Response (DSR) algorithm. The research describes the microgrid control system used on a physical testing platform. The platform simulates a small-scale microgrid with a photovoltaic plant (PV) as its primary stochastic energy source. The local control system is based on a Demand Side Response algorithm called Active Demand Side Management (ADSM). The ADSM algorithm is implemented with a non-dominated sorting genetic algorithm II (NSGA-2). The article presents the study of the microgrid operation using the results of two experiments. The first experiment includes three scenarios representing electricity consumption in three ordinary households, exploiting a small-scale microgrid during four seasons. Every scenario compares the microgrid’s insufficient energy with and without optimization, with an EV and without EV, and with the tariff mode (energy supply from the distribution network in a chosen time). The second experiment deals with the effect of the size of the static battery in the microgrid on insufficient energy and the efficiency of the optimization itself. The results reveal a fundamentally positive impact of optimizing the control system, which uses an EV, on the potential insufficient energy in the microgrid platform.

Keywords

• Microgrid
• Vehicle to grid
• Demand-side response
• Electric vehicle
• Multi-objective optimization
• Large scale optimization