Robust Energy Management Approach for a Microgrid Considering Uncertainties

被引：0
|
作者：
Chen, Tengpeng [1 ,2 ]
Cao, Yuhao [2 ]
Chen, Xuebing [3 ]
Sun, Yuhao [4 ,5 ]
机构：
[1] Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China
[2] Xiamen Univ, Dept Instrumental & Elect Engn, Xiamen 361102, Peoples R China
[3] Sungrow Shanghai Co Ltd, Shanghai 201203, Peoples R China
[4] CM Intelligence Shenzhen Tech Co Ltd, Shenzhen 518110, Peoples R China
[5] Yunnan Univ, Natl Ctr Int Res Photoelect & Energy Mat, Kunming 650091, Yunnan, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Microgrid; Energy management; Uncertainty; Robust optimization; Environmental sustainability; OPTIMIZATION; MARKET; SYSTEM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Uncertainties of renewable energy sources and load demand have a significant effect on the microgrid operation. In this paper, a robust optimal energy management approach is proposed for a grid-connected microgrid where the adjustable uncertain sets are used to represent uncertainties. A novel statistic index is developed to evaluate the effectiveness of the robust optimization and obtain reasonable model parameters. Moreover, the optimal economic cost and the least environmental pollution are achieved simultaneously. Simulation results in different scenarios are given to verify the effectiveness of the robust optimization approach.
引用
收藏
页码：6749 / 6754
页数：6
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