Decentralized automatic load management of EV charging network

This paper presents a decentralized automatic load management scheme for managing an EV charging network using the consensus algorithm and a new capacity sharing protocol. The proposed consensus and capacity sharing protocols are capable of handling various charging situations with plug-and-play characteristics. They are distributed and scalable as global information is acquired only by collecting the local knowledge. By considering the charging stations as a multi-agent system (MAS), the proposed protocols also allow for event-triggered switching topology at any time such that on-demand charging requests can be met dynamically. Simulations under different charging scenarios and different protocols are fully evaluated, and demonstrated that the proposed scheme can effectively and efficiently handle large-scale EVs charging with plug-and-play characteristics.