Impact Factor:3.745
DOI number:10.1109/ACCESS.2019.2913898
Journal:IEEE ACCESS
Key Words:RENEWABLE ENERGY-RESOURCES; SYSTEM
Abstract: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.
Note:SCI二区：2021年影响因子：3.745
Co-author:Mengxuan Yan,Yue Wang,Yiliang Fan,Zekai Lee,Yonggang Wen,Mohammad Shahidehpour
First Author:Xuecong Lee
Indexed by:Journal paper
Correspondence Author:Fang Yuan Xu,Loi Lei Lai
Document Type:J
Volume:7
Page Number:71109-71118
ISSN No.:2169-3536
Translation or Not:no
Date of Publication:2019-04-30
Included Journals:SCI
Links to published journals:https://ieeexplore.ieee.org/document/8703116