Bi-level Optimal Scheduling Strategy for Electric Vehicles with Small-Signal Stability Constraints

Yi Su, Hui Liu, Ni Wang, Zhiqiang Luo, Y. Su, Haimin Xie
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引用次数: 0

Abstract

To reduce the regulation pressure of generator with small-signal disturbance, a bi-level optimal scheduling strategy for electric vehicles (EVs) with small-signal stability constraints is proposed. The upper optimization model aims at minimizing the active power regulation of the generators and optimizes the scheduling plans of EVs agents by optimal power flow. The lower optimization model takes the charging demand of EVs users as the goal, optimizes the charge/discharge power of EVs under the constraints of the upper scheduling plans. The proposed strategy can improve the small-signal stability of power grid. Meanwhile, it reduces the regulation of the generator and ensures the charging demand of EVs users. The numerical simulation is carried out on an improved IEEE-14 bus system, the test results verify the effectiveness of the strategy.
具有小信号稳定性约束的电动汽车双层最优调度策略
为了降低小信号扰动下发电机的调节压力,提出了一种具有小信号稳定性约束的电动汽车双级优化调度策略。上层优化模型以发电机有功调节最小为目标,通过最优潮流优化电动汽车agent的调度计划。下层优化模型以电动汽车用户的充电需求为目标,在上层调度计划约束下对电动汽车的充放电功率进行优化。该策略可以提高电网的小信号稳定性。同时减少了对发电机的调节,保证了电动汽车用户的充电需求。在改进的IEEE-14总线系统上进行了数值仿真,实验结果验证了该策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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