Optimal demand side management for the sparse scheduling of smart charge of EVs.

Abstract

In this article, we provide a proof of concept realization of a demand response scheme modelling an EV-aggregator offering smart charging 1 coordination services to several Electric Vehicles (EV). The aggregator model promotes a distributed smart charge coordination of the EVs optimizing energy costs and energy charging profiles. This proposal considers EV's battery health constraints and mobility constraints and promotes spars day-ahead charging profiles. We use a distributed scheme with the main objective of preserving the integrity of the private information of the active agents and scalability issue. The sparsity solution is identified using the alternating direction method of multipliers. The model proposed alternates between promoting sparsity of the charging profile accomplishing EV's constraints and minimizing energy cost. We assume a decentralized communication between the participants of the optimization problem, exchanging adequate signal prices and power profiles keeping the integrity of the private information of each active agent.