PV assisted Fuzzy based EV charge scheduling for demand side energy management: a case study

Abstract

Targeting a solution for mitigating fossil fuel crisis along with diminishing environmental pollution, rapid adoption of electric vehicles (EV) is taking place. Consequently charging strategy of those vehicles is coming up with great concern. As stochastic charging activities of EVs can greatly stress the distribution system causing grid overloading, peak load increasing, a scheduling of EV charging is needed. On the other side, power system load curve smoothing is needed always for load following, frequency regulation and Voltage regulation. After going through a detailed case study of the city Kolkata, India, a multi aggregator based online fuzzy coordination algorithm (OL-FCA) for charging plug-in electric vehicles (PEVs) in smart grid networks with maximum efficient usage of rooftop PV generation is presented here. It is showed that this kind of harmonization of power industry and transport industry can significantly improve the load factor by 87 percent ensuring proper utilization of clean energy and load ripple reduction.