Electric Vehicles–Based Microgrid for Demand Response Studies Using a Stochastic Algorithm
摘要
Electric vehicles (EV) are integrated into microgrids primarily as energy storage systems and as flexible load sources, thanks to V2G (Vehicle-to-Grid) bidirectional charging technology, which allows them to feed energy back into the grid to stabilize it or cover peak demand. This integration not only increases resilience to power outages by acting as an emergency power source, but also optimizes the use of renewable energy, improves energy efficiency, and can generate new business models. This article presents a techno-economic analysis of the EV penetration in an electrical microgrid-based renewable energy sources and different types of loads. The methodology was divided into three parts: i) the energy demand curves and resulting voltage profiles were obtained; ii) three demand management programs based on incentives and pricing were implemented, and the scenarios were compared; and iii) the different proposed scenarios were economically evaluated by calculating the Net Present Value (NPV) using a binary optimization model.