4.7 Article

Integrated modelling and optimal operation analysis of multienergy systems based on Stackelberg game theory

期刊

ENERGY
卷 236, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.121472

关键词

Multienergy systems; Integrated model; Stackelberg game; Day-ahead optimal operation

资金

  1. National Natural Science Foundation of China [51577068]
  2. National High Technology Research and Development Program of China (863 Program) [2015AA050104]
  3. SGCC Science and Technology Project Research on Key Tech-nologies of Energy Internet Town in Xiongan New Area [5204BB19000 N]

向作者/读者索取更多资源

This paper proposes an integrated modeling and operation method for a multienergy system, establishing a coupling matrix equation and modeling the system based on Stackelberg game theory to achieve a reasonable balance between the whole system and its energy subsystems. The optimized day-ahead operation scheme improves system efficiency and highlights the potential for multienergy system development.
An integrated modelling and operation method for a multienergy system (MES) is proposed in this paper. First, a coupling matrix equation containing the energy flow in the process of energy production, transmission, conversion, storage and consumption is established. Second, the whole MES is selected as the game subject, and each energy subsystem is selected as the game follower. Then, an integrated model of an MES is modelled to quantify the complementary cold-heat-power-gas multi-energy and source-network-load-storage coordinated interactions based on Stackelberg game theory. Third, the day-ahead MES operation scheme is optimized based on the established model and the equilibrium solu-tion is used to realize a reasonable balance of benefits between the whole MES and its energy sub-systems. Numerical studies demonstrate that the proposed method increases the operation cost of the whole MES by yen 68.23 (0.917% increase) but reduces the operation cost of the heat and gas subsystems by yen 254.82 (3.29% decrease) and yen 289.4 (3.72%), respectively, with the objective of minimizing operation cost, and improves the whole system exergy efficiency of the power, heat and gas subsystems by 0.572%, 0.548% and 2.076%, respectively, with the objective of maximizing the exergy efficiency. Thus, one can take into account the different benefits among the whole MES and its energy subsystems and provide a multidimensional dispatch scheme for dispatchers, highlighting the potential for MES development. (c) 2021 Elsevier Ltd. All rights reserved.

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