Abstract: An increasing share of non- dispatchable and intermittent renewable energy plants cause probabilistic behaviour at the power grids’ supply side and therefore the expected penetration of electric mobility at the demand side offers the opportunity of controllable load. For future smart grids their optimal coordination is one major concern. Therefore, a multi-agent system is proposed. In this system, according to a given strategy, each electric vehicle (EV), i.e., the agent acts in response to dynamic condition in its environment. Optimizing these strategies based on evolutionary computation is used. For representing the problem and evaluating the solution simulation models are applied. It allows the modelling of complex as well as probabilistic systems, necessary for the defined problem. In the end, the optimized strategies satisfies the energy demand of individual vehicles end-users and secure power grid operation is guaranteed throughout the considered grid using power from renewable plants.
Keywords: EV, Charging Control, Grid, Policy Optimization.
Title: Optimization of Multi- Agent Control for Electric Vehicle Charging
Author: Ansiya Mohammed Ali
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
Research Publish Journals
