Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network
Large-scale renewable energy penetration desires higher flexibility in the power system. Combined heat and power virtual power plants (CUP-VPPs) provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling syste...
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| Format: | Article |
| Language: | English |
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China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10609312/ |
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| _version_ | 1850179952725458944 |
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| author | Peinan Fan Yixun Xue Haotian Zhao Xinyue Chang Jia Su Ke Wang Hongbin Sun |
| author_facet | Peinan Fan Yixun Xue Haotian Zhao Xinyue Chang Jia Su Ke Wang Hongbin Sun |
| author_sort | Peinan Fan |
| collection | DOAJ |
| description | Large-scale renewable energy penetration desires higher flexibility in the power system. Combined heat and power virtual power plants (CUP-VPPs) provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling system. The topology can be optimally reconfigured in a power distribution system by operating tie and segment switches. Similarly, the heat flow profile can be redistributed in the district heating system (DHS) with valve switching and provide notable flexibility for CHP-VPPs self-scheduling. To address this issue, an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets, which is formulated as an adjustable robust optimization (ARO) problem to assure the realizability of all dispatch requests. The energy flow model is introduced in DHS formulation to make the model solvable. Due to the binary switching variables in the second stage of the proposed ARO problem, classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed. Case studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm. |
| format | Article |
| id | doaj-art-3cf84a8f521b4c4fb8333b6cee98cea5 |
| institution | OA Journals |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-3cf84a8f521b4c4fb8333b6cee98cea52025-08-20T02:18:21ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-0111282683710.17775/CSEEJPES.2022.0868010609312Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating NetworkPeinan Fan0Yixun Xue1Haotian Zhao2Xinyue Chang3Jia Su4Ke Wang5Hongbin Sun6College of Electrical and Power Engineering, Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi ProvinceCollege of Electrical and Power Engineering, Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi ProvinceTsinghua University,Department of Electrical Engineering,Beijing,China,100084College of Electrical and Power Engineering, Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi ProvinceCollege of Electrical and Power Engineering, Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi ProvinceCollege of Electrical and Power Engineering, Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi ProvinceCollege of Electrical and Power Engineering, Taiyuan University of Technology,Energy Internet Key Laboratory of Shanxi ProvinceLarge-scale renewable energy penetration desires higher flexibility in the power system. Combined heat and power virtual power plants (CUP-VPPs) provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling system. The topology can be optimally reconfigured in a power distribution system by operating tie and segment switches. Similarly, the heat flow profile can be redistributed in the district heating system (DHS) with valve switching and provide notable flexibility for CHP-VPPs self-scheduling. To address this issue, an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets, which is formulated as an adjustable robust optimization (ARO) problem to assure the realizability of all dispatch requests. The energy flow model is introduced in DHS formulation to make the model solvable. Due to the binary switching variables in the second stage of the proposed ARO problem, classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed. Case studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.https://ieeexplore.ieee.org/document/10609312/Adjustable robust optimizationDHS reconfigurationelectric-thermal coupling systemvirtual power plants |
| spellingShingle | Peinan Fan Yixun Xue Haotian Zhao Xinyue Chang Jia Su Ke Wang Hongbin Sun Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network CSEE Journal of Power and Energy Systems Adjustable robust optimization DHS reconfiguration electric-thermal coupling system virtual power plants |
| title | Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network |
| title_full | Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network |
| title_fullStr | Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network |
| title_full_unstemmed | Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network |
| title_short | Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network |
| title_sort | enhancing flexibility of virtual power plants considering reconfiguration of district heating network |
| topic | Adjustable robust optimization DHS reconfiguration electric-thermal coupling system virtual power plants |
| url | https://ieeexplore.ieee.org/document/10609312/ |
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