Optimized operation method of small and medium-sized integrated energy system for P2G equipment under strong uncertainty

被引:97
作者
Zhou, Suyang [1 ]
Sun, Kaiyu [1 ]
Wu, Zhi [1 ]
Gu, Wei [1 ]
Wu, Gaoxiang [2 ]
Li, Zhe [2 ]
Li, Junjie [2 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing, Peoples R China
[2] Elect Power Res Inst State Grid Chongqing Elect P, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated energy system; Uncertainty; HCNG; Optimal dispatch; Two-stage robust optimization; NATURAL-GAS; ROBUST OPTIMIZATION; OPTIMAL DISPATCH; WIND POWER; HYDROGEN; MICROGRIDS; ELECTRICITY; MODEL; LOAD; PERFORMANCE;
D O I
10.1016/j.energy.2020.117269
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper studies an Integrated Energy System (IES) and the application of Hydrogen Compressed Natural Gas (HCNG) and Power to Gas (P2G) equipment in IES. Based on the C&CG algorithm, this paper establishes a two-stage robust optimization(TRO) model of the system operating in uncertain environments. Introducing HCNG and P2G equipment into IES can improve the system's ability to accommodate renewable energy, reduce system operation cost and reduce interaction fluctuation between the system and the main grid. Robust optimization can effectively reduce the risk of system operation in uncertain environments and improve the stability of system operation. Under the compensation of the real-time market, the financial performance of the robust optimization model is better than the deterministic optimization model according to the numerical simulation. This study is helpful to the study of the operation and scheduling of IES in remote areas with weak power system infrastructure and abundant renewable energy resources. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:18
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