Optimal Energy Storage System Operation for Peak Reduction in a Distribution Network Using a Prediction Interval
Optimal Energy Storage System Operation for Peak Reduction in a Distribution Network Using a Prediction Interval
复制标题
使用预测间隔优化配电网峰值降低的储能系统运行
DOI：
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发表时间：
2020
影响因子：
9.6
通讯作者：
Sekyung Han
中科院分区：
文献类型：
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作者：
Daisuke Kodaira;Won;Sekyung Han
本研究旨在确定最佳储能系统（ESS）运行计划，以最大限度地减少配电网馈线的峰值负载。为了减少峰值负载，需要预测馈线负载曲线。然而，确定性预测并不可靠，因为它可能包含错误。本研究提出使用基于先前预测的估计误差的预测区间（PI）。所提出的算法旨在使用 PI 确定最佳 ESS 调度。为了证明该方法的有效性，提出了一个案例研究，其中根据 PI 确定的建议最佳 ESS 计划减少了一年期间网络运行期间的峰值负载。该方法的性能优于使用确定性负载预测的传统方法。
This study is aimed at determining the optimal energy storage system (ESS) operation schedule to minimize the peak load on the feeder of a distribution network. To reduce the peak load, the feeder load profile needs to be predicted. A deterministic prediction is not reliable, however, because it may contain errors. This study proposes the use of prediction intervals (PIs) of estimated error based on prior predictions. The proposed algorithm is intended for the determination of an optimal ESS schedule using the PIs. To demonstrate the method’s validity, a case study is presented where a proposed optimal ESS schedule determined from PIs reduces the peak load during network operations over a one-year period. The performance of the proposed method is superior to that of the conventional method which uses deterministic load prediction.
影响因子：
8.8
作者：
D. Greenwood;N. Wade;P. Taylor;P. Papadopoulos;N. Heyward
通讯作者：
D. Greenwood;N. Wade;P. Taylor;P. Papadopoulos;N. Heyward