考虑多应用场景的风电储能站BESS协调控制策略

Hengning Yu, L. Yao, F. Cheng, Hui Liu, Kairang Wang, Xiangjun Li, Jian Xu, B. Mao
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引用次数: 0

摘要

利用储能是提高可再生能源发电波动预测精度,提高可再生能源高比例电力系统可控性和可调度性的有效途径。为了提高可再生能源预测精度,提出了一种电池储能系统多应用场景协同控制策略。首先,根据BESS在不同应用场景下的响应要求,分别提出了BESS在移峰和预测误差补偿场景下的功率控制策略。然后,考虑不同应用场景的优先级,提出了BESS的多应用场景操作区域划分方法。最后,提出了一种基于荷电状态(SOC)的BESS二次功率实时调节方法,并据此提出了BESS多应用场景协调控制策略。仿真案例研究验证了该策略在不同应用场景下能够有效提高BESS利用率、RE消耗能力和预测精度。
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A Coordinated Control Strategy for BESS Considering Multi-application Scenarios in Wind Power-Energy Storage Station
The use of energy storage is an effective way to improve the predication accuracy of fluctuant renewable energy generation and increase the controllability and dispatchability of the power system with high share of renewable energies (REs). In order to improve the prediction accuracy of renewable energies, a multi-application scenario coordinated control strategy for battery energy storage system (BESS) is proposed. Firstly, according to response requirements of BESS under different application scenarios, the power control strategies of BESS under peak load shifting scenario and prediction error compensation scenario are proposed respectively. Then, considering the priority of different application scenarios, the multi-application scenario operating area division method for BESS is proposed. Finally, a real-time secondary power regulation method of BESS is proposed based on the state of charge (SOC), and the multi-application scenario coordinated control strategy for BESS is proposed accordingly. The simulation case studies validate that the proposed strategy can effectively improve the BESS utilization rate, RE consumption ability, and prediction accuracy under various application scenarios.
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