Intelligent power management in micro grids with EV penetration

•Described a decentralized controller using Multi Agent Systems in an electricity market framework.•Customer comfort zones have been considered to define demand response.•An intelligent power management tool developed to alleviate over loading of power networks.•A computationally intelligent algorithm to optimize customers profit during the auction process.•Demonstrated the effectiveness of the proposed computational intelligence approach on a sample system. Large deployment of Electric Vehicles (EVs) adds new challenges in the operation of a microgrid. Assuming that a number of EV owners allow their batteries to charge when their cars are parked, this paper proposes an approach that aims to find suitable individual active power set-points corresponding to the hourly charging rate of each EV battery connected to the microgrid. A multi agent system based controller is designed to find these active power set points for optimal power management of EVs, distributed energy resources in the microgrid, and the loads.