电动汽车群体的分布式充放电最优控制策略研究

发布时间：2018-03-20 23:22

本文选题：电动汽车　切入点：充放电控制　出处：《北京理工大学》2016年硕士论文　论文类型：学位论文

【摘要】：随着电动汽车的日益普及与电池技术的发展,通过对电动汽车群体实施充放电策略的研究实现电动汽车的充电成本最小化以及减少电网负荷曲线的峰谷差成为国内外的研究热点。一方面,通过灵活控制电动汽车电池的充放电时间和充放电功率,可以实现电网谷峰差调节,进而提高电网运行的销路;另一方面,电动汽车用户在参与为电网供电的过程中会得到经济收益,实现整个社会福利的增加。本文建立了电动汽车群体接入电网的充放电模型并分析了集中控制下大规模电动汽车的充放电策略,在此基础上提出了一种分布式最优控制策略和分布式最优迭代算法。在迭代算法中,电动汽车根据电网的电价信息决定自己的充放电策略,并将该策略反馈给电网,电网根据所有电动汽车的充放电策略更新价格,直至电动汽车得到一个收敛的最优充放电策略。本文在理论上证明了该算法得到的最优充放电策略可实现对电网基础负荷曲线的削峰填谷,提高电网运行的有效性、稳定性和经济性。接下来本文对分布式迭代算法的收敛性进行了证明,得出:当电价曲线函数中的参数和电动汽车电池退化函数中的参数满足一定关系条件时,该分布式充放电最优控制算法收敛。文章最后通过对电动汽车群体接入电网的实例进行分布式迭代算法的仿真,验证了证明结果。
[Abstract]:With the development and popularization of battery technology for electric vehicles, by studying the implementation of electric vehicle charging and discharging strategy groups to minimize cost of electric vehicle charging and reduce the peak valley load curve difference has become a research hotspot at home and abroad. On the one hand, through the flexible control of electric vehicle battery charge and discharge time and discharge power Gu Feng, can achieve grid adjustment, so as to improve the operation of the power grid market; on the other hand, the electric car users participating in the process of power supply results in economic benefits, increase the welfare of the whole society. This paper establishes the model of charge / discharge groups connected to the grid electric vehicle charging and discharging and analyzes the strategy of centralized control of large scale electric vehicle, this paper puts forward a distributed optimal strategy and optimal control of distributed iterative algorithm. In the algorithm, electric The car according to grid electricity price information decided to discharge its own strategy, and the strategy of feedback to the power grid, power grid based on charging and discharging strategy of all electric cars to update the prices, the optimal strategy of charging and discharging a convergence of the electric vehicle charging and discharging. Until the optimal strategy in this paper is proved in theory that the algorithm can be realized on the grid the basic load curve of the peak, and improve the efficiency of power grid operation, stability and economy. Then the convergence of distributed iterative algorithm is proved, it is concluded that when the parameters and the electric vehicle battery price curve function deterioration in function of the parameters satisfy certain relationship conditions, the optimal distributed charge discharge to control the convergence of the algorithm. Finally, simulation examples of electric vehicle group grid distributed iterative algorithm, verify the results prove.

【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

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