基于价格更新机制的V2G最优控制策略研究

发布时间：2018-04-20 15:51

本文选题：电动汽车(PEV) + 车电互联技术(V2G)　；参考：《北京理工大学》2015年硕士论文

【摘要】：随着能源消耗与环境问题日益严重,电动汽车(PEV)作为低耗能、低污染的新型交通工具得到了大力发展,因此车电互联技术(V2G)也被广泛的研究和应用。若能能合理地将电动汽车引入到电网,并加以引导控制,不仅可以实现能源的充分利用,还能对电网的频率和电压等相关性能进行调节。本文的研究目的旨在有序引导大规模电动汽车接入电网的充放电行为,并将其作为分布式电源向电网提供电压频率和幅值调节。本文提出一种价格更新机制作为V2G控制系统的算法来解决协同控制问题,此算法中电动汽车用户能够根据自己的成本函数和电池容量决定分配策略,电网通过所有的分配策略更新价格,系统迭代更新直到分配策略及价格不再更新,此时得到的策略最优策略。本文对价格更新机制进行了设计,并证明了由此算法求得的分配策略为全局最优策略,通过集中式控制和分布式控制两种方式对V2G系统进行仿真分析,显示利用价格更新机制所求得策略为全局最优策略。
[Abstract]:As energy consumption and environmental problems become more and more serious, electric vehicle (PEV), as a new type of vehicle with low energy consumption and low pollution, has been greatly developed. Therefore, vehicle power interconnection technology (V2G) has also been widely studied and applied. If the electric vehicle can be reasonably introduced into the power network and guided and controlled, it can not only realize the full utilization of energy, but also regulate the frequency and voltage of the power network. The purpose of this paper is to guide the charging and discharging behavior of large-scale electric vehicles (EVs) in an orderly manner and to provide voltage frequency and amplitude regulation to the grid as a distributed power source. In this paper, a price updating mechanism is proposed as an algorithm of V2G control system to solve the collaborative control problem. In this algorithm, electric vehicle users can decide the allocation strategy according to their own cost function and battery capacity. The power grid updates the price through all the allocation strategies, and the system iterates until the allocation strategy and the price are not updated, and the optimal strategy is obtained. In this paper, the mechanism of price updating is designed, and it is proved that the allocation strategy obtained by this algorithm is the global optimal strategy. The simulation analysis of V2G system is carried out by means of centralized control and distributed control. It shows that the strategy obtained by using the price update mechanism is the global optimal policy.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM73

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