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A Control Approach of Battery Energy Storage Systems to Reduce kW Demand

机译:降低电池需求的电池储能系统的控制方法

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This paper presents a control approach of battery energy storage systems to reduce kW demand under the two-part tariff pricing environment. The proposed algorithm is to minimize the maximum peak load using the forecasting load information during each interval for the charging and discharging periods of a storage system; the optimization of each interval is solved using the dynamic programming technique. The simulation result shows that it is greatly useful to reduce the maximum peak load as well as accomplish load leveling. This work will contribute to electricity cost savings.
机译:本文提出了一种在两部分电价定价环境下降低电池电量需求的电池储能系统的控制方法。所提出的算法是在存储系统的充电和放电周期的每个时间间隔内,使用预测负荷信息将最大峰值负荷最小化;使用动态编程技术可以解决每个间隔的优化问题。仿真结果表明,降低最大峰值负载以及实现负载均衡非常有用。这项工作将有助于节省电费。

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