A Distributed EV/PHEV Storage Management Strategy for Power Flow Balancing
Kenji Hirata, Taiga Kamiji
This paper investigates the distributed energy management strategy for the community consists of households equipped with EV/PHEV storage. We consider the power flow balancing between a prediction based power supply and an actual demand of the community. Each agent, a household, is allowed to determine its own storage charging set-point. On the other hand, the utility, which corresponds to the management office of the community, tries to realize a socially optimal solution that fulfills steady state power flow balancing. In order to align the individual decision making of each agent with the socially optimal solution, the utility is allowed to provide an additional price,which conceptually represents tax or subsidy for the agents. By examining the problem structures of EV/PHEV storage charging, we propose a management strategy that consists of the real-time pricing and distributed optimizations. Effectiveness of the proposed price based distributed management strategy is evaluated through numerical experiments.