Many modern industries are equipped with onsite renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available onsite renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This article proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are usually constrained by the size of the energy storage. The proposed energy management strategy aims to optimize the operation of the industrial microgrids subject to the scalability of the BESS under uncertainties. The proposed optimization involves two stages. In the first stage of optimization, it determines the optimum size of the energy storage taking into account the cost of the BESS, and in the second stage, it minimizes the cost of the microgrid operation based on the decision made in the first stage. This proposed two-stage energy management strategy is formulated as a single-stage linear program that incorporates stochastic scenarios for addressing uncertainties. In addition, the proposed strategy also considers the various operating limits of the energy storage, such as the efficiency and the charging and the discharging rates, and considers the fading effect of the batteries of the BESS. The proposed strategy is then validated using two typical datasets from two different industrial units in New South Wales, Australia. The simulation results show that the proposed strategy effectively calculates the optimum size of the BESS and reduces the operational cost.

中文翻译：

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可再生能源不确定下工业微电网经济运行的综合能源管理方法

许多现代工业都配备了现场可再生能源发电，并且通常连接到电网。电池储能系统 (BESS) 可以补充可用现场可再生能源发电的间歇性。BESS 和可再生能源的组合可以作为微电网运行。如果微电网规模和管理得当，可以减少电费，从而大大节省电费。本文为这样的工业微电网提出了一种能源管理系统。在拟议的能源管理中对 BESS 进行充电和放电的决定通常受到储能规模的限制。所提出的能源管理策略旨在优化工业微电网的运行，以适应不确定性下 BESS 的可扩展性。建议的优化包括两个阶段。在优化的第一阶段，它考虑到 BESS 的成本来确定能量存储的最佳大小，在第二阶段，它根据第一阶段的决策最小化微电网运行的成本。这个提议的两阶段能源管理策略被制定为一个单阶段线性程序，它结合了用于解决不确定性的随机场景。此外，所提出的策略还考虑了储能的各种运行限制，例如效率和充放电率，并考虑了 BESS 电池的衰减效应。然后使用来自澳大利亚新南威尔士州两个不同工业单位的两个典型数据集验证所提出的策略。