Energy management method of multi-microgrids based on dynamic stochastic model
Microgrid (MG) can coordinate the dispatch of distributed generation,energy storage devices and loads to maximize the use of renewable energy. In this paper,the energy trading method among MGs is studied. Aiming at the dynamic stochastic factors of MG,a multi-time-scale method is adopted,including d...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2022-09-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjs/article/html/210720070 |
| _version_ | 1811204722486411264 |
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| author | XU Mingyu HAO Wenbo WANG Panbao ZHAO Leilei WANG Wei XU Dianguo |
| author_facet | XU Mingyu HAO Wenbo WANG Panbao ZHAO Leilei WANG Wei XU Dianguo |
| author_sort | XU Mingyu |
| collection | DOAJ |
| description | Microgrid (MG) can coordinate the dispatch of distributed generation,energy storage devices and loads to maximize the use of renewable energy. In this paper,the energy trading method among MGs is studied. Aiming at the dynamic stochastic factors of MG,a multi-time-scale method is adopted,including daily scheduling and intraday optimization,and the energy management framework of MG is proposed. Then,the energy management model of MG is established,including the daily scheduling model and the intraday optimization model,and the objective functions and constraint conditions are determined. Particle swarm algorithm is used to achieve the lowest economic cost and improve the economic performance of MGs. The proposed dynamic stochastic model,energy trading method and energy management model are verified and analyzed by taking three MGs as examples. The simulation results show that the proposed energy trading method can effectively improve the economy and reliability of the multi-microgrids. |
| first_indexed | 2024-04-12T03:17:26Z |
| format | Article |
| id | doaj.art-5a463201f6b74782a128fb9a4f071810 |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-04-12T03:17:26Z |
| publishDate | 2022-09-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-5a463201f6b74782a128fb9a4f0718102022-12-22T03:50:00ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032022-09-0141514014810.12158/j.2096-3203.2022.05.017Energy management method of multi-microgrids based on dynamic stochastic modelXU Mingyu0HAO Wenbo1WANG Panbao2ZHAO Leilei3WANG Wei4XU Dianguo5State Grid Heilongjiang Electric Power Co., Ltd. Research Institute, Harbin 150030, ChinaState Grid Heilongjiang Electric Power Co., Ltd. Research Institute, Harbin 150030, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;Heilongjiang Institute of Industrial Technology, Harbin 150023, ChinaState Grid Heilongjiang Electric Power Co., Ltd. Research Institute, Harbin 150030, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;Heilongjiang Institute of Industrial Technology, Harbin 150023, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;Heilongjiang Institute of Industrial Technology, Harbin 150023, ChinaMicrogrid (MG) can coordinate the dispatch of distributed generation,energy storage devices and loads to maximize the use of renewable energy. In this paper,the energy trading method among MGs is studied. Aiming at the dynamic stochastic factors of MG,a multi-time-scale method is adopted,including daily scheduling and intraday optimization,and the energy management framework of MG is proposed. Then,the energy management model of MG is established,including the daily scheduling model and the intraday optimization model,and the objective functions and constraint conditions are determined. Particle swarm algorithm is used to achieve the lowest economic cost and improve the economic performance of MGs. The proposed dynamic stochastic model,energy trading method and energy management model are verified and analyzed by taking three MGs as examples. The simulation results show that the proposed energy trading method can effectively improve the economy and reliability of the multi-microgrids.https://www.epet-info.com/dlgcjs/article/html/210720070multi-microgridsdynamic stochastic modelmulti-time scaleenergy tradingenergy managementeconomical |
| spellingShingle | XU Mingyu HAO Wenbo WANG Panbao ZHAO Leilei WANG Wei XU Dianguo Energy management method of multi-microgrids based on dynamic stochastic model 电力工程技术 multi-microgrids dynamic stochastic model multi-time scale energy trading energy management economical |
| title | Energy management method of multi-microgrids based on dynamic stochastic model |
| title_full | Energy management method of multi-microgrids based on dynamic stochastic model |
| title_fullStr | Energy management method of multi-microgrids based on dynamic stochastic model |
| title_full_unstemmed | Energy management method of multi-microgrids based on dynamic stochastic model |
| title_short | Energy management method of multi-microgrids based on dynamic stochastic model |
| title_sort | energy management method of multi microgrids based on dynamic stochastic model |
| topic | multi-microgrids dynamic stochastic model multi-time scale energy trading energy management economical |
| url | https://www.epet-info.com/dlgcjs/article/html/210720070 |
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