A novel technique to enhance demand responsiveness: An EV based test case

Abstract

In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivizing consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.