Battery energy storage systems (BESSs) have been widely deployed in microgrids to deal with uncertain output power of renewable distributed generation (DG) and improve renewable energy utilization efficiency. However, due to the short-term dispatch mode and BESS capacity limitation, current BESS dispatch decisions may not be efficient from a whole-day perspective, leading to an inadequate/excessive state of charge (SoC) for subsequent dispatch. To address this issue, an adaptive BESS dispatch method with SoC interval management is proposed for unbalanced three-phase microgrids, aiming to minimize the operating cost. In a day-ahead stage, an SoC interval is optimized considering the uncertainties of renewable DG, loads and market prices. During the day, the BESS is dispatched inside the SoC interval with a rolling horizon procedure to track uncertainty realization. Accordingly, a hybrid interval-robust optimization method is developed to solve the proposed scheduling problem under the uncertainties and procure the optimal SoC interval. Particularly, a decomposing and alternating solution algorithm is developed to identify the pessimistic case based on robust optimization while the SoC interval is determined on the basis of interval optimization. Simulation results verify high efficiency and solution robustness of the proposed hybrid interval-robust adaptive BESS scheduling method.

中文翻译：

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针对不平衡微电网的具有 SoC 间隔管理的混合间隔鲁棒自适应电池储能系统调度


电池储能系统（BESS）已广泛部署在微电网中，以应对可再生分布式发电（DG）输出功率的不确定性，提高可再生能源利用效率。然而，由于短期调度模式和BESS容量限制，当前BESS调度决策从全天角度来看可能效率不高，导致后续调度的荷电状态（SoC）不足/过多。为了解决这个问题，针对不平衡三相微电网，提出了一种具有SoC间隔管理的自适应BESS调度方法，旨在最大限度地降低运营成本。在日前阶段，考虑到可再生能源DG、负荷和市场价格的不确定性，对SoC间隔进行优化。白天，BESS 在 SoC 间隔内通过滚动范围程序进行调度，以跟踪不确定性的实现。因此，开发了一种混合间隔鲁棒优化方法来解决不确定性下的调度问题并获得最佳的 SoC 间隔。特别是，开发了一种分解和交替求解算法，以基于鲁棒优化来识别悲观情况，同时在区间优化的基础上确定SoC区间。仿真结果验证了所提出的混合间隔鲁棒自适应BESS调度方法的高效率和解决方案的鲁棒性。