考虑源荷随机扰动的电动汽车与风电联合调频控制策略

Joint Frequency Modulation Control Strategy for Electric Vehicles and Wind Power Considering Stochastic Perturbation in Source-Load Interactions

摘要:

大规模电动汽车与新能源参与电网调频的同时，自身也会影响电网频率稳定性，针对该问题，基于模型预测控制，提出了一种考虑源荷随机扰动的电动汽车与风电联合调频控制策略。首先，根据电动汽车接入状态及风速，刻画电动汽车集群、风电机组的输出功率边界与扰动变化；其次，建立多区域电力系统负荷频率控制模型，综合考虑电动汽车集群与风电机组接入所伴随的随机扰动，基于模型预测控制对系统频率偏差进行有效调节；最后，以三区域互联电力系统为例进行仿真实验。结果表明，所提控制策略能显著抑制源荷随机扰动带来的频率偏差，提高系统的动态控制性能。

Abstract:

Large-scale electric vehicles and new energy participating in grid frequency modulation can impact the stability of grid frequency. For this problem, based on model predictive control, a joint frequency modulation control strategy for electric vehicles and wind power is proposed considering stochastic perturbation in source-load interaction. Firstly, according to the access state and wind speed of electric vehicle, the output power boundary of electric vehicle clusters and wind turbines is portrayed with the change of perturbation. Secondly, a load frequency control (LFC) model is established for multi-area power system, and the stochastic perturbation accompanied by the access of electric vehicle clusters and wind turbines is taken into account comprehensively to effectively regulate the frequency deviation of the system based on model predictive control. Finally, a simulation experiment is carried out taking a three-region interconnected power system for example. The results show that the proposed control strategy can significantly suppress the frequency deviation caused by the stochastic perturbation in source-load interactions, and can improve the dynamic control performance of the system.