Robust Optimal Scheduling of Integrated Energy Systems Considering the Uncertainty of Power Supply and Load in the Power Market

Lang Zhao (), Yuan Zeng, Zhidong Wang, Yizheng Li, Dong Peng, Yao Wang and Xueying Wang
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Lang Zhao: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Yuan Zeng: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Zhidong Wang: State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
Yizheng Li: State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
Dong Peng: State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
Yao Wang: Economic and Technical Research Institute, State Grid Shanxi Electric Power Company, Taiyuan 030002, China
Xueying Wang: State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China

Energies, 2023, vol. 16, issue 14, 1-14

Abstract: The integrated energy system is a complex energy system that involves multi-stakeholder and multi-energy coordinated operations. The key to improving its scale and sustainable development is to construct a better-integrated energy system dispatching method which is suitable for the power market. However, the randomness of the supply side and load side of the integrated energy system brings further challenges to system planning and scheduling. Therefore, the optimal scheduling method of an integrated energy system considering the uncertainty of supply and demand in the market environment is studied in this paper. Firstly, the uncertainty models of the supply side and load side of the integrated energy system are established. Then, the optimal scheduling model based on robust chance constraint is established. The reserve capacity constraint is set as a chance constraint with a certain confidence level to maximize the system profit in the power market. Finally, simulations show that the proposed method not only guarantees the robustness of the system but also improves the economy of the system. The method provides ideas for exploring the development mechanism and strategy of integrated energy systems in the electricity market environment.

Keywords: integrated energy system; uncertainty; chance constraint; robust optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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