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Unit commitment in power system considering vehicle-to-grid
Pages: 86-92
Year: Issue:  10
Journal: Power System Protection and Control

Keyword:  机组组合遗传算法可入网电动汽车电动汽车入网电池状态unit commitmentgenetic algorithmplug-in electric vehiclevehicle-to-gridstate-of-charge;
Abstract: 为了提高电动汽车入网技术(V2G)的电力系统机组组合实用性和经济性,提出一种考虑可入网电动汽车(PEV)的数量变化和电池电荷状态变化的机组组合算法.利用电池电荷状态与充放电电量之间的关系,结合预估的不同时段入网PEV数量,确定每天入网PEV的净充电总需求量.构建考虑电动汽车入网技术的电力系统机组组合模型,以发电成本为目标函数,加入电池电荷状态的罚函数,求解电力系统机组的出力计划和入网PEV的充放电控制计划.分析了不同情景下充放电最优控制和机组组合结果,对比了不同PEV充电模式对电力系统机组组合结果的影响.算例分析结果表明,该方法可以有效的节省机组成本,实现电动汽车的连续调度,证明了该方法的正确性和有效性.%In order to improve the practicability and economy of vehicle-to-grid (V2G) accessing power system, the paper proposes a novel unit combination algorithm considering plug-in electric vehicle (PEV) quantity change and state-of-charge (SOC) change. The relationship between SOC and charge and discharge power along with the estimate of PEV quantity in different time is used to determine daily PEV net charge demand. A new unit commitment in power system considering V2G model is developed, taking the generating cost as the objective function and the state-of-charge as the penalty function to figure out the output schedule and the optimal PEV charging and discharging control plan. The optimal PEV charging and discharging and the results of unit combination in different scenarios are investigated. The effects of different PEV charging modes on the unit combination are compared. It is found that the method can save the unit cost effectively and realize the continuous dispatching, and its correctness and applicability are verified.
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