Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach
Demand response is crucial for stabilizing smart grids by promoting flexible energy consumption. However, current demand response models largely rely on single- or bi-level frameworks, which lack the structure to effectively propagate incentives from the grid to integrated energy system service prov...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524006306 |
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| _version_ | 1832595415154819072 |
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| author | Wen-Ting Lin Guo Chen Jueyou Li Yan Lei Wanli Zhang Degang Yang Tingzhen Ming |
| author_facet | Wen-Ting Lin Guo Chen Jueyou Li Yan Lei Wanli Zhang Degang Yang Tingzhen Ming |
| author_sort | Wen-Ting Lin |
| collection | DOAJ |
| description | Demand response is crucial for stabilizing smart grids by promoting flexible energy consumption. However, current demand response models largely rely on single- or bi-level frameworks, which lack the structure to effectively propagate incentives from the grid to integrated energy system service providers and, ultimately, to multi-energy users. Additionally, privacy concerns in collecting and transmitting user energy preferences can reduce user participation in demand response. This study addresses these challenges by proposing a three-level demand response model for integrated energy systems, structured to align grid and integrated energy system objectives through a hierarchical incentive system. Using a Stackelberg game framework, the model coordinates interactions among the grid, integrated energy system service providers, and multi-energy users, ensuring efficient incentive distribution across all levels. To further protect privacy and encourage participation, a fully distributed algorithm incorporating homomorphic encryption is employed. Simulation results indicate that the proposed three-level mechanism enhances demand response performance by aligning user actions with grid objectives, outperforming traditional bi-level models. |
| format | Article |
| id | doaj-art-a2819e79717d4e298deb6faa918212a1 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-a2819e79717d4e298deb6faa918212a12025-01-19T06:23:56ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110407Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approachWen-Ting Lin0Guo Chen1Jueyou Li2Yan Lei3Wanli Zhang4Degang Yang5Tingzhen Ming6School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China; Corresponding authors.College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China; Corresponding authors.School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, ChinaCollege of Electronic and Information Engineering, Southwest University, Chongqing 400715, ChinaSchool of Computer and Information Science, Chongqing Normal University, Chongqing 401331, ChinaSchool of Computer and Information Science, Chongqing Normal University, Chongqing 401331, ChinaSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, Hubei 430070, ChinaDemand response is crucial for stabilizing smart grids by promoting flexible energy consumption. However, current demand response models largely rely on single- or bi-level frameworks, which lack the structure to effectively propagate incentives from the grid to integrated energy system service providers and, ultimately, to multi-energy users. Additionally, privacy concerns in collecting and transmitting user energy preferences can reduce user participation in demand response. This study addresses these challenges by proposing a three-level demand response model for integrated energy systems, structured to align grid and integrated energy system objectives through a hierarchical incentive system. Using a Stackelberg game framework, the model coordinates interactions among the grid, integrated energy system service providers, and multi-energy users, ensuring efficient incentive distribution across all levels. To further protect privacy and encourage participation, a fully distributed algorithm incorporating homomorphic encryption is employed. Simulation results indicate that the proposed three-level mechanism enhances demand response performance by aligning user actions with grid objectives, outperforming traditional bi-level models.http://www.sciencedirect.com/science/article/pii/S0142061524006306Privacy-preservingIncentive mechanismIntegrated energy systemDemand responseHomomorphic encryption |
| spellingShingle | Wen-Ting Lin Guo Chen Jueyou Li Yan Lei Wanli Zhang Degang Yang Tingzhen Ming Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach International Journal of Electrical Power & Energy Systems Privacy-preserving Incentive mechanism Integrated energy system Demand response Homomorphic encryption |
| title | Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach |
| title_full | Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach |
| title_fullStr | Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach |
| title_full_unstemmed | Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach |
| title_short | Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach |
| title_sort | privacy preserving incentive mechanism for integrated demand response a homomorphic encryption based approach |
| topic | Privacy-preserving Incentive mechanism Integrated energy system Demand response Homomorphic encryption |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524006306 |
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