A Two-Stage Game Model for Combined Heat and Power Trading Market

The proliferation of technologies such as combined heat and power systems and smart meters has accelerated the multienergy trading. A two-stage game model is built in this paper to analyze the optimal strategy of each player and their interactions. Specifically, in consumer game model, we present an...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 34; H. 1; S. 506 - 517
Hauptverfasser:	Wu, Chenyu, Gu, Wei, Bo, Rui, Jiang, Ping, Wu, Zhi, Lu, Shuai, Yao, Shuai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cogeneration Companies Computer simulation Demand side management distributed algorithm Distributed algorithms Economic models Energy consumption Energy management Game theory Games Home appliances Markets Measuring instruments micro energy management system Schedules
ISSN:	0885-8950, 1558-0679
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Abstract	The proliferation of technologies such as combined heat and power systems and smart meters has accelerated the multienergy trading. A two-stage game model is built in this paper to analyze the optimal strategy of each player and their interactions. Specifically, in consumer game model, we present an autonomous and distributed micro energy management system among users in which power and heat are traded at the same time. In supplier game model, integrated energy suppliers receive energy demand information and share the market according to the game result. In addition, we present a detailed proof of the existence and uniqueness of the Nash equilibrium, which lays the foundation for researchers to build an effective model using game theory. Further, a distributed algorithm specifically designed for this model is proposed. The players can retain a certain level of anonymity without revealing the details of their energy consumption or generation schedules to other players. Lastly, simulation results confirm the feasibility of two-stage game model and the effectiveness of the proposed distributed algorithm.
AbstractList	The proliferation of technologies such as combined heat and power systems and smart meters has accelerated the multienergy trading. A two-stage game model is built in this paper to analyze the optimal strategy of each player and their interactions. Specifically, in consumer game model, we present an autonomous and distributed micro energy management system among users in which power and heat are traded at the same time. In supplier game model, integrated energy suppliers receive energy demand information and share the market according to the game result. In addition, we present a detailed proof of the existence and uniqueness of the Nash equilibrium, which lays the foundation for researchers to build an effective model using game theory. Further, a distributed algorithm specifically designed for this model is proposed. The players can retain a certain level of anonymity without revealing the details of their energy consumption or generation schedules to other players. Lastly, simulation results confirm the feasibility of two-stage game model and the effectiveness of the proposed distributed algorithm.
Author	Lu, Shuai Gu, Wei Bo, Rui Yao, Shuai Wu, Zhi Wu, Chenyu Jiang, Ping
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SubjectTerms	Algorithms Cogeneration Companies Computer simulation Demand side management distributed algorithm Distributed algorithms Economic models Energy consumption Energy management Game theory Games Home appliances Markets Measuring instruments micro energy management system Schedules
Title	A Two-Stage Game Model for Combined Heat and Power Trading Market
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