A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage
In a multi-microgrid grid-connected system, a MGCO is formed to participate in the optimization scheduling of the ADN by sharing ES, which can promote the efficient utilization of resources and obtain win–win interests for all participants. According to the complementary characteristics of ES behavi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.906406/full |
| _version_ | 1811232894120624128 |
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| author | Fei Li Fei Li Xianshan Li Xianshan Li Zijian Fang Lei Zhang |
| author_facet | Fei Li Fei Li Xianshan Li Xianshan Li Zijian Fang Lei Zhang |
| author_sort | Fei Li |
| collection | DOAJ |
| description | In a multi-microgrid grid-connected system, a MGCO is formed to participate in the optimization scheduling of the ADN by sharing ES, which can promote the efficient utilization of resources and obtain win–win interests for all participants. According to the complementary characteristics of ES behaviors and energy production–consumption of MGs, a game scheduling model of the ADN with the MGCO for sharing ES is established to obtain energy reciprocity and balance the interest of both parties. The ADN formulates the ToU price policy to maximize the operational benefits, and the MGCO responds to the price to obtain each member’s energy-dispatching strategy for minimizing the total operating costs. Furthermore, all members in the MGCO distribute the cooperation surplus based on the Shapley value method. The example results show that the proposed game model can balance the benefits between the ADN and multi-microgrid with sharing ES and maximize the mutual benefits of the MGCO through energy reciprocity. |
| first_indexed | 2024-04-12T11:11:08Z |
| format | Article |
| id | doaj.art-437dd85f31384b688cffb89f773ec0fb |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-12T11:11:08Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-437dd85f31384b688cffb89f773ec0fb2022-12-22T03:35:36ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-06-011010.3389/fenrg.2022.906406906406A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy StorageFei Li0Fei Li1Xianshan Li2Xianshan Li3Zijian Fang4Lei Zhang5Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaHubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang, ChinaIn a multi-microgrid grid-connected system, a MGCO is formed to participate in the optimization scheduling of the ADN by sharing ES, which can promote the efficient utilization of resources and obtain win–win interests for all participants. According to the complementary characteristics of ES behaviors and energy production–consumption of MGs, a game scheduling model of the ADN with the MGCO for sharing ES is established to obtain energy reciprocity and balance the interest of both parties. The ADN formulates the ToU price policy to maximize the operational benefits, and the MGCO responds to the price to obtain each member’s energy-dispatching strategy for minimizing the total operating costs. Furthermore, all members in the MGCO distribute the cooperation surplus based on the Shapley value method. The example results show that the proposed game model can balance the benefits between the ADN and multi-microgrid with sharing ES and maximize the mutual benefits of the MGCO through energy reciprocity.https://www.frontiersin.org/articles/10.3389/fenrg.2022.906406/fullsharing energy storagemicrogrid coalitionactive distribution networkgame schedulingShapley value methodenergy reciprocity |
| spellingShingle | Fei Li Fei Li Xianshan Li Xianshan Li Zijian Fang Lei Zhang A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage Frontiers in Energy Research sharing energy storage microgrid coalition active distribution network game scheduling Shapley value method energy reciprocity |
| title | A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage |
| title_full | A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage |
| title_fullStr | A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage |
| title_full_unstemmed | A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage |
| title_short | A Game Optimization Scheduling Strategy of Active Distribution Network With Multi-Microgrid Sharing Energy Storage |
| title_sort | game optimization scheduling strategy of active distribution network with multi microgrid sharing energy storage |
| topic | sharing energy storage microgrid coalition active distribution network game scheduling Shapley value method energy reciprocity |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.906406/full |
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