4.7 Article

Hierarchically partitioned coordinated operation of distributed integrated energy system based on a master-slave game

期刊

ENERGY
卷 214, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.119006

关键词

Integrated energy system; Energy internet; Master-slave game; Hierarchically partitioned; Coordinated operation

资金

  1. National Natural Science Foundation of China [51577068]

向作者/读者索取更多资源

This paper proposes a hierarchically partitioned coordinated operation method for distributed integrated energy systems (DIES) based on a master-slave game, and successfully verifies that this method can effectively promote the balance of energy supply and demand, as well as reconcile the benefits of leaders and followers.
- With the rapid development of the energy internet, integrated energy system (IES) has become a topic of interest in the field of energy research. In light of energy interconnection system containing multiple communities, this paper proposes a hierarchically partitioned coordinated operation method for distributed integrated energy system (DIES) based on a master-slave game. First, based on the concept of distributed autonomy and centralized coordination, a hierarchically partitioned structure of urban integrated energy system is given, and a variety of energy equipment are modeled and analysed. Next, in considering the energy and interest interactions among different communities, the urban manager and community operators are taken as the game leader and game followers, respectively, to establish a hierarchically partitioned master-slave game optimization model of DIES based on game theory, and a mixed integer linear programming method is applied to solve the model. Finally, a typical case of urban integrated energy system is taken as an example to verify the optimization model. Simulation results show that the proposed method can effectively promote the balance of energy supply and demand, and reconcile the benefits of leader and followers, while further realizing the economic, flexible and efficient operation of DIES. (C) 2020 Elsevier Ltd. All rights reserved.

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