Peer-to-Peer Energy Sharing Among Smart Energy Buildings by Distributed Transaction
Efficient building energy management is essential for energy saving and green society. This paper investigates sustainable energy management for an energy building cluster with distributed transaction. The building cluster consists of several types of energy buildings, e.g., office, industrial, and...
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| Published in | IEEE transactions on smart grid Vol. 10; no. 6; pp. 6491 - 6501 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Efficient building energy management is essential for energy saving and green society. This paper investigates sustainable energy management for an energy building cluster with distributed transaction. The building cluster consists of several types of energy buildings, e.g., office, industrial, and commercial buildings. We first formulate utility functions for the buildings of consuming energy based on the characteristics of their controllable loads. Then a two-stage energy sharing strategy is presented. In the first stage, the total social energy cost is minimized through finding the optimal energy sharing profiles in a distributed way. In the second stage, the clearing for mutual energy sharing is modeled as a non-cooperative game, and the existence of the equilibrium of the game is illustrated and a relaxation-based algorithm is introduced to search for the equilibrium. Moreover, a real-time model for each building to overcome real-time uncertainties, such as renewable energy generation and base loads is provided. The simulation results show that the proposed energy sharing strategy is economically beneficial for the energy buildings, computationally efficient, and is promising to facilitate a sustainable regional building cluster. |
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| AbstractList | Efficient building energy management is essential for energy saving and green society. This paper investigates sustainable energy management for an energy building cluster with distributed transaction. The building cluster consists of several types of energy buildings, e.g., office, industrial, and commercial buildings. We first formulate utility functions for the buildings of consuming energy based on the characteristics of their controllable loads. Then a two-stage energy sharing strategy is presented. In the first stage, the total social energy cost is minimized through finding the optimal energy sharing profiles in a distributed way. In the second stage, the clearing for mutual energy sharing is modeled as a non-cooperative game, and the existence of the equilibrium of the game is illustrated and a relaxation-based algorithm is introduced to search for the equilibrium. Moreover, a real-time model for each building to overcome real-time uncertainties, such as renewable energy generation and base loads is provided. The simulation results show that the proposed energy sharing strategy is economically beneficial for the energy buildings, computationally efficient, and is promising to facilitate a sustainable regional building cluster. |
| Author | Xiao, Jiang-Wen Cui, Shichang Wang, Yan-Wu |
| Author_xml | – sequence: 1 givenname: Shichang orcidid: 0000-0001-5568-3038 surname: Cui fullname: Cui, Shichang organization: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China – sequence: 2 givenname: Yan-Wu orcidid: 0000-0002-4722-1332 surname: Wang fullname: Wang, Yan-Wu email: wangyw@hust.edu.cn organization: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China – sequence: 3 givenname: Jiang-Wen orcidid: 0000-0002-8708-2920 surname: Xiao fullname: Xiao, Jiang-Wen organization: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China |
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| SubjectTerms | Algorithms Buildings Clean energy Clusters Commercial buildings Computer simulation distributed optimization Energy building Energy conservation Energy costs Energy management energy sharing Game theory Games HVAC Load modeling non-cooperative game peer-to-peer Peer-to-peer computing Real time Real-time systems Renewable energy sources |
| Title | Peer-to-Peer Energy Sharing Among Smart Energy Buildings by Distributed Transaction |
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