Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry
Cooperation between electric power networks (EPNs) and district heating networks (DHNs) has been extensively studied under the assumption that all information exchanged is authentic. However, EPNs and DHNs belonging to different entities may result in marketing fraud. This paper proposes a cooperati...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9944371/ |
| _version_ | 1827940634134052864 |
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| author | Jizhong Zhu Haohao Zhu Weiye Zheng Shenglin Li Junwei Fan |
| author_facet | Jizhong Zhu Haohao Zhu Weiye Zheng Shenglin Li Junwei Fan |
| author_sort | Jizhong Zhu |
| collection | DOAJ |
| description | Cooperation between electric power networks (EPNs) and district heating networks (DHNs) has been extensively studied under the assumption that all information exchanged is authentic. However, EPNs and DHNs belonging to different entities may result in marketing fraud. This paper proposes a cooperation mechanism for integrated electricity-heat systems (IEHSs) to overcome information asymmetry. First, a fraud detection method based on multiparametric programming with guaranteed feasibility reveals the authenticity of the information. Next, all honest entities are selected to form a coalition. Furthermore, to maintain operational independence and distribute benefits fairly, Benders decomposition is enhanced to calculate Shapley values in a distributed fashion. Finally, the cooperative surplus generated by the coalition is allocated according to the marginal contribution of each entity. Numerical results show that the proposed mechanism stimulates cooperation while achieving Pareto optimality under asymmetric information. |
| first_indexed | 2024-03-13T09:12:26Z |
| format | Article |
| id | doaj.art-ac83a39ffc3d4e8d876d9822ce261fba |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-03-13T09:12:26Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-ac83a39ffc3d4e8d876d9822ce261fba2023-05-26T23:01:03ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-0111387388410.35833/MPCE.2022.0003019944371Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information AsymmetryJizhong Zhu0Haohao Zhu1Weiye Zheng2Shenglin Li3Junwei Fan4School of Electric Power Engineering, South China University of Technology,Guangzhou,China,510641School of Electric Power Engineering, South China University of Technology,Guangzhou,China,510641School of Electric Power Engineering, South China University of Technology,Guangzhou,China,510641School of Electric Power Engineering, South China University of Technology,Guangzhou,China,510641School of Electric Power Engineering, South China University of Technology,Guangzhou,China,510641Cooperation between electric power networks (EPNs) and district heating networks (DHNs) has been extensively studied under the assumption that all information exchanged is authentic. However, EPNs and DHNs belonging to different entities may result in marketing fraud. This paper proposes a cooperation mechanism for integrated electricity-heat systems (IEHSs) to overcome information asymmetry. First, a fraud detection method based on multiparametric programming with guaranteed feasibility reveals the authenticity of the information. Next, all honest entities are selected to form a coalition. Furthermore, to maintain operational independence and distribute benefits fairly, Benders decomposition is enhanced to calculate Shapley values in a distributed fashion. Finally, the cooperative surplus generated by the coalition is allocated according to the marginal contribution of each entity. Numerical results show that the proposed mechanism stimulates cooperation while achieving Pareto optimality under asymmetric information.https://ieeexplore.ieee.org/document/9944371/Information asymmetryintegrated electricity-heat systemBenders decompositionfraud detectionShapley value |
| spellingShingle | Jizhong Zhu Haohao Zhu Weiye Zheng Shenglin Li Junwei Fan Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry Journal of Modern Power Systems and Clean Energy Information asymmetry integrated electricity-heat system Benders decomposition fraud detection Shapley value |
| title | Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry |
| title_full | Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry |
| title_fullStr | Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry |
| title_full_unstemmed | Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry |
| title_short | Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry |
| title_sort | cooperation mechanism design for integrated electricity heat systems with information asymmetry |
| topic | Information asymmetry integrated electricity-heat system Benders decomposition fraud detection Shapley value |
| url | https://ieeexplore.ieee.org/document/9944371/ |
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