Distributed Control-based Two-layer Coordination Optimization Scheduling Method for Pure Electric Heavy Trucks

In order to solve the problem of increasing power grid load when the power grid is converted to the power grid, the power grid stability and the quality of the power of the power grid are proposed, and a distributed power -based heavy -duty card charging and discharge layered management framework is proposed. First of all, establish a distributed -controlled pure electric heavy truck V2G layered management framework. The framework is divided into three levels: EV Smart, local operators and distribution network control centers. The minimum difference between the grid peak and valley is the optimization target. The lower level is based on the minimum operating cost of local operators to optimize the optimization scheduling. Finally, the artificial fish group algorithm is used to solve the model. Power grid peak valley difference and local operator operating costs.