面向电动汽车无线充电市场的迭代双边拍卖算法

在智能电网中，分布式能源具有灵活性，可以支持来自电动汽车的快速变化的无线充电需求。针对无线充电市场采用迭代双边拍卖算法进行电能供需匹配，分布式能源作为电能卖方，汇集商汇集电动汽车的充电需求，作为电能买方，买卖方按照自身效益最大化的原则进行出价。代理商作为拍卖师，根据出价进行电能分配和定价，可以在买卖方隐私信息未知的情况下最大化总效益。仿真结果表明，该算法可以最大化供需双方的总效益，且具有较快的收敛速度，能够保证电动汽车与分布式能源之间电能分配的高效性。

Iterative Double Auction Algorithm for Wireless Electric Vehicle Charging Market

In smart grid, distributed energy resources are flexible and able to support the fast-changing wireless charging demand from electric vehicles. An iterative double auction algorithm is employed to match power supply and demand for the wireless charging market, in which distributed energy resources act as power sellers, and aggregators that aggregate charging demands of electric vehicles act as power buyers. Buyers and sellers offer prices based on the principle of self-utility maximization. An agent, as an auctioneer, determines power allocation and payment according to the offered prices, and it can maximize the total utility while the private information of buyers and sellers is unknown. Simulation results show that the algorithm can maximize the total benefit of supply and demand at a fast convergence speed, ensuring the efficiency of power allocation between electric vehicles and distributed energy resources.