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Optimal Daily Storage Operation for Industrial and Commercial Load Management

机译:用于工业和商业负载管理的最佳日常存储操作

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Industrial and commercial electricity bills, generally include energy charge and demand charge, are significant expenses for the business. Equipping energy storage is a desirable option for user-side load management. This paper formulates a decomposition scheme for the maximum demand in a billing period so that the monthly demand charge can be integrated into the daily cost expression, together with the energy charge. Based on this, an optimal battery scheduling strategy under uncertainty is proposed to minimize the expected electricity costs. Further analysis deduces the convexity of the proposed model, which ensures global optimal solutions. The effectiveness of the proposed strategy is demonstrated by a comparison of examples. Also, the impact of the initial state of charge on cost reduction is evaluated.
机译:工业和商业电费通常包括能源费和需求费,是企业的重大支出。配备能量存储是用户端负载管理的理想选择。本文针对计费期间的最大需求制定了分解方案,以便将每月需求费用与能源费用一起整合到每日成本表达中。基于此,提出了一种在不确定性下的最优电池调度策略,以最大程度地降低预期的电费成本。进一步的分析推导了所提出模型的凸性,从而确保了全局最优解。通过实例比较证明了所提出策略的有效性。同样,评估了初始充电状态对降低成本的影响。

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