计及电动汽车充电调度可行域的电力系统机组最优组合

Unit commitment in power systems considering the charging dispatch feasible region of plug-in electric vehicles

大量电动汽车无序充电会给电力系统的安全与经济运行带来严重负面影响,因此如何优化调度电动汽车充电就成为值得研究的重要问题。现有的电动汽车充电优化调度方面的研究工作未能很好地统筹考虑用户出行需要和充电能量需求,这是旨在研究的核心问题。首先,通过分析电动汽车用户的出行需要和充电能量需求,可得到电动汽车充电调度的可行域。之后,对传统的机组最优组合模型进行扩展,考虑电动汽车充电调度的可行域约束,形成兼顾电动汽车出行需要和充电能量需求的电力系统机组最优组合模型。最后,用一个包括10台发电机组的算例系统说明所提方法的可行性和有效性。仿真结果表明在不影响用户日常出行需求的情况下通过优化调度电动汽车充电过程可以实现削峰填谷,进而改善电力系统运行的经济性。

Uncoordinated charging of a large number of plug-in electric vehicles （PEVs） could have significant nega- tive impacts on secure and economic operation of a power system concerned. Hence, how to optimally dispatch the charging process of PEVs is an important subject with extensive concerns. The existing research work in this area does not systematically address PEV users driving need and charging energy demand, and this is the focus of this work. First, by analyzing the driving pattern and charging energy demand of PEV users, the feasible region of PEV charging dispatching is attained. The traditional unit commitment model is next extended with the feasible region of PEV char- ging dispatching taken into account, and a new unit commitment model accommodating PEV users driving need and charging energy demand developed. Finally, a sample power system with 10 generating units is served for demonstrating the feasibility and efficiency of the proposed method, and it is shown by simulation results that peak load shifting can be achieved with PEV users driving need respected and the economics of the power system operation thus improved.