An Optimal Scheduling Method for Multi-Energy Hub Systems Using Game Theory

Yu Huang, Weiting Zhang, Kai Yang, Weizhen Hou and Yiran Huang
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Yu Huang: Department of Automation, North China Electric Power University, Baoding 071003, China
Weiting Zhang: Department of Automation, North China Electric Power University, Baoding 071003, China
Kai Yang: Department of Automation, North China Electric Power University, Baoding 071003, China
Weizhen Hou: Department of Automation, North China Electric Power University, Baoding 071003, China
Yiran Huang: Department of Engineering Electronics and Communication Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2019, vol. 12, issue 12, 1-20

Abstract: The optimal scheduling of multi-energy hub systems plays an important role in the safety, stability, and economic operation of the system. However, due to the strong uncertainty of renewable energy access, serious coupling, and the interaction among energy hubs of multi-energy hub systems, it is difficult for the traditional optimal scheduling method to solve these problems. Therefore, game theory was used to solve the optimal scheduling problem of multi-energy hub systems. According to the internal connection mode and energy conversion relationship of energy hubs, along with the competitive and cooperative relationship between multi-energy hubs, the game theoretic optimal scheduling model of the multi-energy hub system was established. Then, two cases and 50 groups of wind speed series were used to test the robustness of the proposed method. Simulation results show that the total power injection is −16,805.8, 104.1847, and −865.561 and the natural gas injection is 46,046.81, 27,727.65, and 63,039.54 in spring/autumn, summer, and winter, respectively, which is consistent with the characteristics of the four seasons. Furthermore, the optimal scheduling method using game theory has a strong robustness in multi-energy hub systems.

Keywords: multi-energy hub system; game theory; energy hub; uncertainty; optimal operation strategy (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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