Energy management method for microgrids based on improved Stackelberg game real-time pricing model
With the rapid development of microgrids with distributed generations (DGs) and energy storage system (ESS), it is important to study energy management methods to improve the operation economy of microgrids. However, there is currently a lack of research on microgrid’s energy management models inclu...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723008508 |
| _version_ | 1797388839631716352 |
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| author | Bo Li Ruifeng Zhao Jiangang Lu Kuo Xin Jinhua Huang Guanqiang Lin Jinrong Chen Xueyue Pang |
| author_facet | Bo Li Ruifeng Zhao Jiangang Lu Kuo Xin Jinhua Huang Guanqiang Lin Jinrong Chen Xueyue Pang |
| author_sort | Bo Li |
| collection | DOAJ |
| description | With the rapid development of microgrids with distributed generations (DGs) and energy storage system (ESS), it is important to study energy management methods to improve the operation economy of microgrids. However, there is currently a lack of research on microgrid’s energy management models including multi-party groups such as wind turbines, photovoltaics and ESS. This paper proposed an energy trading management method of microgrids based on Stackelberg game real-time pricing mechanism, which can solve the more complex optimization operation problem of microgrids. First, the rolling optimization was carried out to determine the charging and discharging behavior of ESS for maximizing the total benefit microgrid in the next few time slots. Further, a Stackelberg game real-time pricing model was built. The electricity prices of different entities in the microgrid in the next time slot were optimized by microgrid operator (MGO) to determine the load demand of each DG, preference parameter in the utility function of DGs was improved to promote the internal energy interaction and the economic benefits of the microgrid. Finally, the results show that our method can effectively improve DGs’ total utility and stimulate energy trading within the microgrid. Compared with no optimization and traditional method, the daily profit of MGO obtained by our method was increased by 31.89% and 5.4% respectively, verifying the economics of the proposed method. |
| first_indexed | 2024-03-08T22:46:38Z |
| format | Article |
| id | doaj.art-ce122767d08b457e9b7ef409c68d8198 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T22:46:38Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-ce122767d08b457e9b7ef409c68d81982023-12-17T06:38:51ZengElsevierEnergy Reports2352-48472023-10-01912471257Energy management method for microgrids based on improved Stackelberg game real-time pricing modelBo Li0Ruifeng Zhao1Jiangang Lu2Kuo Xin3Jinhua Huang4Guanqiang Lin5Jinrong Chen6Xueyue Pang7Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, Guangdong 510600, China; Corresponding author.Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, Guangdong 510600, ChinaElectric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, Guangdong 510600, ChinaPower Dispatch and Control Center, China Southern Power Grid Co., Ltd., Guangzhou, Guangdong 510670, ChinaElectric Power Research Institute of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong 510082, ChinaHuizhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Huizhou, Guangdong 516000, ChinaFoshan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Foshan, Guangdong 528000, ChinaChina Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou, Guangdong 510663, ChinaWith the rapid development of microgrids with distributed generations (DGs) and energy storage system (ESS), it is important to study energy management methods to improve the operation economy of microgrids. However, there is currently a lack of research on microgrid’s energy management models including multi-party groups such as wind turbines, photovoltaics and ESS. This paper proposed an energy trading management method of microgrids based on Stackelberg game real-time pricing mechanism, which can solve the more complex optimization operation problem of microgrids. First, the rolling optimization was carried out to determine the charging and discharging behavior of ESS for maximizing the total benefit microgrid in the next few time slots. Further, a Stackelberg game real-time pricing model was built. The electricity prices of different entities in the microgrid in the next time slot were optimized by microgrid operator (MGO) to determine the load demand of each DG, preference parameter in the utility function of DGs was improved to promote the internal energy interaction and the economic benefits of the microgrid. Finally, the results show that our method can effectively improve DGs’ total utility and stimulate energy trading within the microgrid. Compared with no optimization and traditional method, the daily profit of MGO obtained by our method was increased by 31.89% and 5.4% respectively, verifying the economics of the proposed method.http://www.sciencedirect.com/science/article/pii/S2352484723008508MicrogridStackelberg gameEnergy managementRolling optimization |
| spellingShingle | Bo Li Ruifeng Zhao Jiangang Lu Kuo Xin Jinhua Huang Guanqiang Lin Jinrong Chen Xueyue Pang Energy management method for microgrids based on improved Stackelberg game real-time pricing model Energy Reports Microgrid Stackelberg game Energy management Rolling optimization |
| title | Energy management method for microgrids based on improved Stackelberg game real-time pricing model |
| title_full | Energy management method for microgrids based on improved Stackelberg game real-time pricing model |
| title_fullStr | Energy management method for microgrids based on improved Stackelberg game real-time pricing model |
| title_full_unstemmed | Energy management method for microgrids based on improved Stackelberg game real-time pricing model |
| title_short | Energy management method for microgrids based on improved Stackelberg game real-time pricing model |
| title_sort | energy management method for microgrids based on improved stackelberg game real time pricing model |
| topic | Microgrid Stackelberg game Energy management Rolling optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723008508 |
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