Multi-agent based simulation architecture for distribution system regarding PEVs

The integrated system with EVs can be divided into three different stake-holders: Distribution Network Operators, Charge Station Operators and EV Owners, which are usually recognized as of different or even conflicting goals. In this paper, a multi-agent based solution is presented to model different entities by varying agents with individual parameters and goals. Firstly, a hierarchical and distributed EV management structure is proposed to deal with the large population of disperse EVs. Then based on research of interactions among different agents, an EV optimal charging scheduling algorithm is proposed using non-cooperative game theory, which considers the interests of each individual in a distributed way. Furthermore, the technical feasibility of the EV Management Multi Agent System developed in JADE is proved on a section of residential distribution network. The simulation results show that the proposed technology can integrate electric vehicles into the distribution systems without violating grid operational constraints.