Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory
Abstract The paper addresses the economic operation optimization problem of photovoltaic charging-swapping-storage integrated stations (PCSSIS) in high-penetration distribution networks. It proposes a dual-layer optimization scheduling model for PCSSIS clusters and distribution network systems. Firs...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-80397-z |
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| author | Zixuan Liu Jun Wu Ruijin Zhu Dewen Kong Hao Guo |
| author_facet | Zixuan Liu Jun Wu Ruijin Zhu Dewen Kong Hao Guo |
| author_sort | Zixuan Liu |
| collection | DOAJ |
| description | Abstract The paper addresses the economic operation optimization problem of photovoltaic charging-swapping-storage integrated stations (PCSSIS) in high-penetration distribution networks. It proposes a dual-layer optimization scheduling model for PCSSIS clusters and distribution network systems. Firstly, a master–slave game model is constructed. The upper layer takes the high-penetration distribution network as the decision-making entity and aims to maximize its own revenue while considering the energy trading of PCSSIS. The lower layer takes PCSSIS as the decision-making entity, and PCSSIS adjusts energy flow and optimizes revenue based on the internal electricity price provided by the upper-layer distribution network. Secondly, the differential evolution algorithm and GUROBI solver are used to solve for the maximum revenue, internal electricity price, and electricity consumption of PCSSIS and the distribution network. Finally, the effectiveness of the proposed strategy is verified through case studies and simulations. |
| format | Article |
| id | doaj-art-dc262583e3ef466ea0705573f6f00bdc |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-dc262583e3ef466ea0705573f6f00bdc2025-01-05T12:16:02ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-024-80397-zDouble layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theoryZixuan Liu0Jun Wu1Ruijin Zhu2Dewen Kong3Hao Guo4Water Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry UniversitySchool of Electrical Engineering and Automation, Wuhan UniversityElectric Engineering College, Tibet Agriculture & Animal Husbandry UniversityWater Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry UniversityWater Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry UniversityAbstract The paper addresses the economic operation optimization problem of photovoltaic charging-swapping-storage integrated stations (PCSSIS) in high-penetration distribution networks. It proposes a dual-layer optimization scheduling model for PCSSIS clusters and distribution network systems. Firstly, a master–slave game model is constructed. The upper layer takes the high-penetration distribution network as the decision-making entity and aims to maximize its own revenue while considering the energy trading of PCSSIS. The lower layer takes PCSSIS as the decision-making entity, and PCSSIS adjusts energy flow and optimizes revenue based on the internal electricity price provided by the upper-layer distribution network. Secondly, the differential evolution algorithm and GUROBI solver are used to solve for the maximum revenue, internal electricity price, and electricity consumption of PCSSIS and the distribution network. Finally, the effectiveness of the proposed strategy is verified through case studies and simulations.https://doi.org/10.1038/s41598-024-80397-zPhotovoltaic charging-swapping-storage integrated stationHigh-penetration distribution networkInternal electricity priceMaster-slave gameDual-layer optimization |
| spellingShingle | Zixuan Liu Jun Wu Ruijin Zhu Dewen Kong Hao Guo Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory Scientific Reports Photovoltaic charging-swapping-storage integrated station High-penetration distribution network Internal electricity price Master-slave game Dual-layer optimization |
| title | Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory |
| title_full | Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory |
| title_fullStr | Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory |
| title_full_unstemmed | Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory |
| title_short | Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory |
| title_sort | double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory |
| topic | Photovoltaic charging-swapping-storage integrated station High-penetration distribution network Internal electricity price Master-slave game Dual-layer optimization |
| url | https://doi.org/10.1038/s41598-024-80397-z |
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