Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game
Abstract The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric‐heat‐hydrogen IES based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is f...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-08-01
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| Series: | Energy Conversion and Economics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/enc2.12094 |
| _version_ | 1797372134938378240 |
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| author | Yumin Zhang Jingrui Li Xingquan Ji Pingfeng Ye Danwen Yu Baoyu Zhang |
| author_facet | Yumin Zhang Jingrui Li Xingquan Ji Pingfeng Ye Danwen Yu Baoyu Zhang |
| author_sort | Yumin Zhang |
| collection | DOAJ |
| description | Abstract The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric‐heat‐hydrogen IES based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considered the full utilization of hydrogen energy and involved the conversion of hydrogen energy to electricity and heat energy. Meanwhile, the demand response amount is integrated into the objective function of load aggregator (LA) in order to encourage consumers to adjust their consumption behaviour. Secondly, by analyzing the characteristics of price information interaction among EP, energy system operator (ESO), and LA, the payoffs of each entity in IES are reformulated. Finally, a Stackelberg game model is established with ESO as the dominator guiding price information, EP and LA as the followers whose private information is confidential. Genetic algorithm and quadratic programming algorithm (GA‐QP) are employed to solve the developed model. Numerical experiments are carried out on an actual park‐level IES in northern China to demonstrate the effectiveness of the proposed model in promoting the benefit equilibrium among various entities. |
| first_indexed | 2024-03-08T18:30:30Z |
| format | Article |
| id | doaj.art-2f2210319f864903a3d78eea4c5ff03b |
| institution | Directory Open Access Journal |
| issn | 2634-1581 |
| language | English |
| last_indexed | 2024-03-08T18:30:30Z |
| publishDate | 2023-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Conversion and Economics |
| spelling | doaj.art-2f2210319f864903a3d78eea4c5ff03b2023-12-30T03:41:43ZengWileyEnergy Conversion and Economics2634-15812023-08-014426727510.1049/enc2.12094Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg gameYumin Zhang0Jingrui Li1Xingquan Ji2Pingfeng Ye3Danwen Yu4Baoyu Zhang5College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao ChinaCollege of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao ChinaCollege of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao ChinaCollege of Energy Storage Technology Shandong University of Science and Technology Qingdao ChinaState Grid Shandong Electric Power Research Institute State grid Shandong Electric Power Company Jinan ChinaState Grid Dezhou Power Supply Company State grid Shandong Electric Power Company Dezhou ChinaAbstract The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric‐heat‐hydrogen IES based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considered the full utilization of hydrogen energy and involved the conversion of hydrogen energy to electricity and heat energy. Meanwhile, the demand response amount is integrated into the objective function of load aggregator (LA) in order to encourage consumers to adjust their consumption behaviour. Secondly, by analyzing the characteristics of price information interaction among EP, energy system operator (ESO), and LA, the payoffs of each entity in IES are reformulated. Finally, a Stackelberg game model is established with ESO as the dominator guiding price information, EP and LA as the followers whose private information is confidential. Genetic algorithm and quadratic programming algorithm (GA‐QP) are employed to solve the developed model. Numerical experiments are carried out on an actual park‐level IES in northern China to demonstrate the effectiveness of the proposed model in promoting the benefit equilibrium among various entities.https://doi.org/10.1049/enc2.12094demand responsehydrogen energyintegrated energy systemstackelberg game |
| spellingShingle | Yumin Zhang Jingrui Li Xingquan Ji Pingfeng Ye Danwen Yu Baoyu Zhang Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game Energy Conversion and Economics demand response hydrogen energy integrated energy system stackelberg game |
| title | Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game |
| title_full | Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game |
| title_fullStr | Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game |
| title_full_unstemmed | Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game |
| title_short | Optimal dispatching of electric‐heat‐hydrogen integrated energy system based on Stackelberg game |
| title_sort | optimal dispatching of electric heat hydrogen integrated energy system based on stackelberg game |
| topic | demand response hydrogen energy integrated energy system stackelberg game |
| url | https://doi.org/10.1049/enc2.12094 |
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