Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode
Under the policy support of electricity market reform and the promotion of microgrids in grid-connected operation mode construction in China, the sales side of electricity market is gradually liberalized. Microgrids are developing rapidly through participating in the electricity market competition....
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9078088/ |
| _version_ | 1818578186050469888 |
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| author | Zifa Liu Jianyu Gao Hanxiao Yu Xinyue Wang |
| author_facet | Zifa Liu Jianyu Gao Hanxiao Yu Xinyue Wang |
| author_sort | Zifa Liu |
| collection | DOAJ |
| description | Under the policy support of electricity market reform and the promotion of microgrids in grid-connected operation mode construction in China, the sales side of electricity market is gradually liberalized. Microgrids are developing rapidly through participating in the electricity market competition. In order to find the multi-player game relationship of real-time electricity market with multi-microgrid in grid-connected operation mode and provide an incentive for electricity trading among microgrids, we propose a transactive real-time market trading mechanism based on the principle of proportional distribution. Through the analysis of multi-player game in real-time market, we build cost-benefit models of microgrids with power surplus and those with power shortage. Based on the game theory, non-cooperative game models with multi-buyer and multi-seller of microgrids with power surplus and those with power shortage are established. The existence of Nash equilibrium for the game models of microgrids with power surplus and those with power shortage has been proved and the Nash equilibrium is solved to obtain their optimal bid and selling strategies. The feasibility and validity of the proposed mechanism and models are proved through case study. The result demonstrates that all microgrids can obtain the best profits with their optimal strategies. |
| first_indexed | 2024-12-16T06:41:48Z |
| format | Article |
| id | doaj.art-efefb27fbff74ec18eedc56064055198 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T06:41:48Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-efefb27fbff74ec18eedc560640551982022-12-21T22:40:39ZengIEEEIEEE Access2169-35362020-01-018795947960310.1109/ACCESS.2020.29902979078088Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected ModeZifa Liu0https://orcid.org/0000-0003-3225-4040Jianyu Gao1https://orcid.org/0000-0003-4898-1349Hanxiao Yu2https://orcid.org/0000-0001-8759-4523Xinyue Wang3https://orcid.org/0000-0003-4100-7092School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaState Grid Beijing Urban District Power Supply Company, Beijing, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaUnder the policy support of electricity market reform and the promotion of microgrids in grid-connected operation mode construction in China, the sales side of electricity market is gradually liberalized. Microgrids are developing rapidly through participating in the electricity market competition. In order to find the multi-player game relationship of real-time electricity market with multi-microgrid in grid-connected operation mode and provide an incentive for electricity trading among microgrids, we propose a transactive real-time market trading mechanism based on the principle of proportional distribution. Through the analysis of multi-player game in real-time market, we build cost-benefit models of microgrids with power surplus and those with power shortage. Based on the game theory, non-cooperative game models with multi-buyer and multi-seller of microgrids with power surplus and those with power shortage are established. The existence of Nash equilibrium for the game models of microgrids with power surplus and those with power shortage has been proved and the Nash equilibrium is solved to obtain their optimal bid and selling strategies. The feasibility and validity of the proposed mechanism and models are proved through case study. The result demonstrates that all microgrids can obtain the best profits with their optimal strategies.https://ieeexplore.ieee.org/document/9078088/Microgridsdistribution networkreal-time electricity market mechanismcost-benefit modelnon-cooperative game modeloptimal strategies |
| spellingShingle | Zifa Liu Jianyu Gao Hanxiao Yu Xinyue Wang Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode IEEE Access Microgrids distribution network real-time electricity market mechanism cost-benefit model non-cooperative game model optimal strategies |
| title | Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode |
| title_full | Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode |
| title_fullStr | Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode |
| title_full_unstemmed | Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode |
| title_short | Operation Mechanism and Strategies for Transactive Electricity Market With Multi-Microgrid in Grid-Connected Mode |
| title_sort | operation mechanism and strategies for transactive electricity market with multi microgrid in grid connected mode |
| topic | Microgrids distribution network real-time electricity market mechanism cost-benefit model non-cooperative game model optimal strategies |
| url | https://ieeexplore.ieee.org/document/9078088/ |
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