Virtual Storage-Based DSM With Error-Driven Prediction Modulation for Microgrids（SCI二区：2021年影响因子：3.745）
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影响因子：3.745
DOI码：10.1109/ACCESS.2019.2913898
发表刊物：IEEE ACCESS
关键字：RENEWABLE ENERGY-RESOURCES; SYSTEM
摘要：Microgrids consider adjustable loads in demand-side management (DSM), which respond to dynamic market prices. A reliable DSM strategy relies on load forecasting techniques in day-ahead (DA) scheduling. This paper applies an error-driven prediction modulation to evaluate these differences. In addition, this paper creates two new DSM methods with an evaluation environment to utilize this modulation. The first method adds this modulation directly to traditional microgrid DSM with electrical storage. The second method creates two virtual sub-storages for behavior adjustment in both DA and real-time (RT) markets. The results of numerical studies indicate that the new DSM methods can reduce microgrid operation costs.
备注：SCI二区：2021年影响因子：3.745
合写作者：Mengxuan Yan,Yue Wang,Yiliang Fan,Zekai Lee,Yonggang Wen,Mohammad Shahidehpour
第一作者：Xuecong Lee
论文类型：期刊论文
通讯作者：Fang Yuan Xu,Loi Lei Lai
文献类型：J
卷号：7
页面范围：71109-71118
ISSN号：2169-3536
是否译文：否
发表时间：2019-04-30
收录刊物：SCI