Dispatching strategy for the multi-energy microgrid with source and load uncertainties

被引：0
作者：
Li, Zhen-Long [1 ]
Li, Peng [1 ]
Xia, Jing [2 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewale, Beijing, Peoples R China
来源：
2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) | 2022年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
multi-energy microgrid; mixed integer linear programming (MILP); stochastic-robust optimization; column-and-constraint generation (C&CG) algorithm; OPTIMIZATION; SYSTEM;
D O I：
10.1109/SSCI51031.2022.10022134
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Compared to the microgrid dispatch problem that only considers electricity, recent years have seen more focuses on the multi-energy microgrid problem that considers multi-energy with different carrier forms. In this paper, we present a dispatch method for the multi-energy microgrid with involving the electricity and hydrogen power. First, we formulate the dispatch problem of a multi-energy microgrid as a mixed integer linear programming (MILP). Secondly, with the uncertainties on both sides of the source and load, the original dispatch problem is remodeled as a stochastic-robust optimization problem. Then, the column-and-constraint generation (C&CG) algorithm based on the mathematical expectation is used for solution. Finally, the effectiveness of the proposed method is verified with real data. The comparison schemes can provide recommendations for decision makers when dispatching.
引用
收藏
页码：1113 / 1118
页数：6
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