Hyperfine optimal dispatch for integrated energy microgrid considering uncertainty

被引:14
|
作者
Bo, Yaolong [1 ]
Xia, Yanghong [1 ]
Wei, Wei [1 ]
Li, Zichen [1 ]
Zhao, Bo [2 ]
Lv, Zeyan [3 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] State Grid Zhejiang Elect Power Res Inst, Hangzhou 310014, Peoples R China
[3] Zhejiang Dev & Planning Inst, Hangzhou 310000, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Integrated energy microgrid; Hyperfine optimal dispatch; Distributionally robust optimization; McCormick; Parallel computation; ROBUST OPTIMIZATION; PHOTOVOLTAIC POWER; NATURAL-GAS; OPERATION; MANAGEMENT; SYSTEM; IMPACT; TECHNOLOGY; SECURITY;
D O I
10.1016/j.apenergy.2023.120637
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Different from the traditional microgrid, the optimal dispatch of integrated energy microgrid (IEM) may face the problems of infeasibility, non-convexity and quantification of uncertainties. To fill this gap, this paper presents the hyperfine optimal dispatch methodology for IEM considering uncertainties. The proposed method not only reveals the impact of time resolution for integrated energy optimal dispatch, but also solves the uncertainty of photovoltaic (PV) power prediction error based on distributionally robust optimization (DRO). To cape with the complexity and non-convexity of the proposed model, a piecewise McCormick algorithm with parallel compu-tation is constructed. The case studies are performed to demonstrate the benefits of the proposed optimal dispatch in terms of operation economics, model feasibility, optimization computation time and robustness.
引用
收藏
页数:14
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