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

机译:带有电池储能系统的风电场的最佳短期电力调度

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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:由于对环境的关注,近年来可再生能源的渗透正在迅速增加。可再生能源的间歇性使电网调度成为一个重大挑战。因此,对于可再生能源的整合规定了许多限制。电池储能系统(BESS)的发展使可再生发电具有灵活的运行方式,并满足电网的要求。提出了一种基于模型预测控制(MPC)方案的带电池储能系统的最优电力调度方法。所提出的方法的目的是在满足电网约束的同时使风电场的能量损失和电池使用最小化。在运行过程中,风电场输出和电池状态的信息会不断更新,并通过风速预测在最佳范围内安排短期电力调度。提出的优化问题通过每个时间间隔的差分进化(DE)算法解决。最后,在具有历史风速数据的30MW风电场测试案例中演示了新颖的短期风电调度方案。

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