Research on Game Model and Algorithm for Electric Vehicle Aggregations

With the expansion of the application of electric vehicles(EV), traditional centralized scheduling of EV triggers curse of dimensionality in its optimization algorithm, for this reason the competitive market is led in and a multiaggregation management mode for EV load is proposed to decrease the scale of the algorithm effectively. Under the proposed mode, a game theory based economic decision optimization model, which is a 0-1 integer programming model with the opponent strategy, is designed for each aggregation, and the imitating cobweb algorithm and time block method are put forward to solve the designed model. Taking EV using lithium-ion battery and EV using lead-acid battery as example, the proposed model is simulated and simulation results show that adopting the proposed decision optimization model the profit of the aggregation can be increased effectively.