Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining
In the current energy transactions of multi-park integrated energy system (M-PIES), aiming at the problems that the interaction between the supply side and the demand side is not fully considered, the sharing potential of multiple energy sources is not fully tapped, the benefit distribution mechanis...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723010387 |
| _version_ | 1797378678692249600 |
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| author | Wen-wei Zhang Wei-qing Wang Xiao-chao Fan Shan He Hai-yun Wang Jia-hui Wu Rui-jing Shi |
| author_facet | Wen-wei Zhang Wei-qing Wang Xiao-chao Fan Shan He Hai-yun Wang Jia-hui Wu Rui-jing Shi |
| author_sort | Wen-wei Zhang |
| collection | DOAJ |
| description | In the current energy transactions of multi-park integrated energy system (M-PIES), aiming at the problems that the interaction between the supply side and the demand side is not fully considered, the sharing potential of multiple energy sources is not fully tapped, the benefit distribution mechanism considering the contribution of the load aggregator (LA) is lacking, and with the all-round development of the carbon trading market (CTM), the existing ladder-type carbon trading (LCT) mechanism has insufficient capacity to limit CO2 discharges of M-PIES, etc., this paper puts forward a low-carbon optimal operation strategy of M-PIES considering the multi-energy sharing trading mechanism (MSTM) and asymmetric Nash bargaining (ANB). Firstly, the interaction between supply and demand (IS&D) is fully considered, and the benefit maximization model of PIES operator-LA multi-agent alliance considering MSTM and improved ladder-type carbon trading mechanism (ILCTM) is established by using Nash negotiation theory (NNT). Then, according to the different bargaining capabilities of each agent, a profit distribution model based on ANB is proposed, and it is solved by alternating direction method of multipliers (ADMM). Finally, through the comparison of different cases, it is proved that the proposed method can further reduce CO2 discharges of M-PIES, improve the benefits of each agent and alliance, and realize the fair and reasonable distribution of energy sharing (ES) benefits. |
| first_indexed | 2024-03-08T20:11:08Z |
| format | Article |
| id | doaj.art-65abb81e8c6246728ffd3b05c2be8d29 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T20:11:08Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-65abb81e8c6246728ffd3b05c2be8d292023-12-23T05:21:01ZengElsevierEnergy Reports2352-48472023-11-0110255284Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargainingWen-wei Zhang0Wei-qing Wang1Xiao-chao Fan2Shan He3Hai-yun Wang4Jia-hui Wu5Rui-jing Shi6College of Electrical Engineering, Xinjiang University, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR ChinaCollege of Electrical Engineering, Xinjiang University, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR China; Corresponding authors at: Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR China.Xinjiang Institute of Engineering, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR China; Corresponding authors at: Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR China.College of Electrical Engineering, Xinjiang University, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR ChinaCollege of Electrical Engineering, Xinjiang University, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR ChinaCollege of Electrical Engineering, Xinjiang University, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR ChinaXinjiang Institute of Engineering, PR China; Engineering Research Center for Renewable Energy Generation & Grid Control, No. 777, Huarui Street, Shuimogou District, Urumqi 830017, PR ChinaIn the current energy transactions of multi-park integrated energy system (M-PIES), aiming at the problems that the interaction between the supply side and the demand side is not fully considered, the sharing potential of multiple energy sources is not fully tapped, the benefit distribution mechanism considering the contribution of the load aggregator (LA) is lacking, and with the all-round development of the carbon trading market (CTM), the existing ladder-type carbon trading (LCT) mechanism has insufficient capacity to limit CO2 discharges of M-PIES, etc., this paper puts forward a low-carbon optimal operation strategy of M-PIES considering the multi-energy sharing trading mechanism (MSTM) and asymmetric Nash bargaining (ANB). Firstly, the interaction between supply and demand (IS&D) is fully considered, and the benefit maximization model of PIES operator-LA multi-agent alliance considering MSTM and improved ladder-type carbon trading mechanism (ILCTM) is established by using Nash negotiation theory (NNT). Then, according to the different bargaining capabilities of each agent, a profit distribution model based on ANB is proposed, and it is solved by alternating direction method of multipliers (ADMM). Finally, through the comparison of different cases, it is proved that the proposed method can further reduce CO2 discharges of M-PIES, improve the benefits of each agent and alliance, and realize the fair and reasonable distribution of energy sharing (ES) benefits.http://www.sciencedirect.com/science/article/pii/S2352484723010387Asymmetric Nash bargainingImproved ladder-type carbon trading mechanismMulti-park integrated energy systemMulti-energy sharing trading mechanismThe interaction between supply and demand |
| spellingShingle | Wen-wei Zhang Wei-qing Wang Xiao-chao Fan Shan He Hai-yun Wang Jia-hui Wu Rui-jing Shi Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining Energy Reports Asymmetric Nash bargaining Improved ladder-type carbon trading mechanism Multi-park integrated energy system Multi-energy sharing trading mechanism The interaction between supply and demand |
| title | Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining |
| title_full | Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining |
| title_fullStr | Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining |
| title_full_unstemmed | Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining |
| title_short | Low-carbon optimal operation strategy of multi-park integrated energy system considering multi-energy sharing trading mechanism and asymmetric Nash bargaining |
| title_sort | low carbon optimal operation strategy of multi park integrated energy system considering multi energy sharing trading mechanism and asymmetric nash bargaining |
| topic | Asymmetric Nash bargaining Improved ladder-type carbon trading mechanism Multi-park integrated energy system Multi-energy sharing trading mechanism The interaction between supply and demand |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723010387 |
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