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Optimal Short-term Power Dispatch Scheduling for a Wind Farm with Battery Energy Storage System

机译:电池储能系统的风电场最佳短期功率调度调度

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摘要

The penetration of renewable energy is increasing rapidly in recent years due to the environmental concerns. The intermittent nature of renewable energy makes the dispatch of the grid a major challenge. Hence, there are many restrictions stipulated for the integration of the renewable energy. The development of battery energy storage systems (BESS) enables the renewable generation with flexible operation and to meet the requirements of the grid. In this paper, an optimal power dispatch scheduling method based on model predictive control (MPC) scheme is proposed for a wind farm with battery energy storage system. The objective of the proposed method is to minimize the energy loss of the wind farm and the battery usage while meeting the grid constraints. During the operation process, the information of wind farm output and battery state is update continuously and short-term power dispatch is scheduled by wind speed forecast within the optimal horizon. The proposed optimization problem is solved by a differential evolution (DE) algorithm at each time interval. Finally, the novel short-term wind power dispatch scheme is demonstrated in a 30MW wind farm test case with historic wind speed data.
机译:由于环境问题,可再生能源的渗透率迅速增加。可再生能源的间歇性质使得派出网格成为一个重大挑战。因此,对于可再生能源的整合,存在许多限制。电池储能系统(BESS)的开发使可再生的发电能够灵活的操作,并满足网格的要求。本文提出了一种基于模型预测控制(MPC)方案的最佳功率调度调度方法,用于电池能量存储系统的风电场。该方法的目的是最大限度地减少风电场的能量损失和电池使用,同时满足电网约束。在操作过程中,风电场输出和电池状态的信息是连续更新的,并且在最佳地平线内通过风速预测安排短期功率调度。所提出的优化问题通过每个时间间隔的差分演进(de)算法来解决。最后,在历史风速数据的30MW风电场测试箱中证明了新的短期风力发货方案。

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