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首页> 外文期刊>Science, Measurement & Technology, IET >Peak demand shaving and load-levelling using a combination of bin packing and subset sum algorithms for electrical energy storage system scheduling
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Peak demand shaving and load-levelling using a combination of bin packing and subset sum algorithms for electrical energy storage system scheduling

机译：结合装箱和子集和算法的峰值需求削减和负载均衡，用于电能存储系统调度

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摘要

An algorithm that uses demand profile information and a minimal set of energy storage system (ESS) parameters is formulated in this study for obtaining ESS operation schedules to achieve peak demand shaving and load-levelling. The algorithm is developed by formulating an electricity demand profile and ESS as a combination of the one-dimensional bin packing problem and the subset sum problem using sets of mathematical equations. The electrical system undergoes specific transformations in the charging and discharging phases of the ESS and heuristic algorithms for solving these problems are applied to obtain a viable operation schedule to meet these objectives. A comparative analysis with another algorithm is presented for verification. Results for a case study are also presented alongside a discussion to show a practical application of the algorithm.
机译：在这项研究中，提出了一种使用需求概况信息和最少的能量存储系统（ESS）参数集的算法，以获取ESS操作计划以实现峰值需求削减和负载均衡。通过使用一组数学方程式将电力需求曲线和ESS公式化为一维箱装箱问题和子集​​总和问题的组合来开发该算法。电气系统在ESS的充电和放电阶段进行了特定的转换，并采用解决这些问题的启发式算法来获得可行的运行时间表，以满足这些目标。提出了与另一种算法的比较分析以进行验证。在讨论的同时还提供了案例研究的结果，以展示该算法的实际应用。

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