Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic
Considering the flexibility of shared energy storage and the different electricity demand of multiple types of users, a bi-level optimization method is proposed to achieve the optimal overall economic benefits of users and improve the photovoltaic consumption capacity for industrial users. Aiming at...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2024-01-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/221104551 |
| _version_ | 1797346901400485888 |
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| author | MA Jiayi LIU Haitao ZHONG Cong YUAN Yubo ZHANG Xiaocheng |
| author_facet | MA Jiayi LIU Haitao ZHONG Cong YUAN Yubo ZHANG Xiaocheng |
| author_sort | MA Jiayi |
| collection | DOAJ |
| description | Considering the flexibility of shared energy storage and the different electricity demand of multiple types of users, a bi-level optimization method is proposed to achieve the optimal overall economic benefits of users and improve the photovoltaic consumption capacity for industrial users. Aiming at the lowest monthly power consumption cost of users, the upper layer model is established considering the system energy balance, energy storage charging and discharging constraints and energy storage state of charge constraints, so as to reduce the monthly maximum electricity demand and decrease demand charge. Taking the optimized monthly demand from the upper layer model, the day-ahead model is established, and the charging and discharging power of the shared energy storage, as well as the interactive power between users and the power grid are output to optimize comprehensive benefits of multiple types of industrial users and improve the photovoltaic absorption ability. Strategies for shared energy storage charging and discharging power, as well as user interaction power with the grid, are proposed to optimize the comprehensive benefits for various types of industrial users, ensuring daily economic efficiency under the premise of monthly overall economic optimality. Finally, the effectiveness of the proposed method is verified with the case study. |
| first_indexed | 2024-03-08T11:39:54Z |
| format | Article |
| id | doaj.art-e8f6def785394f6a89cd024643943c83 |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-03-08T11:39:54Z |
| publishDate | 2024-01-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-e8f6def785394f6a89cd024643943c832024-01-25T07:27:35ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032024-01-01431606710.12158/j.2096-3203.2024.01.007221104551Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaicMA Jiayi0LIU Haitao1ZHONG Cong2YUAN Yubo3ZHANG Xiaocheng4School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaState Grid Jiangsu Electric Power Co., Ltd. Research Institute, Nanjing 211103, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaConsidering the flexibility of shared energy storage and the different electricity demand of multiple types of users, a bi-level optimization method is proposed to achieve the optimal overall economic benefits of users and improve the photovoltaic consumption capacity for industrial users. Aiming at the lowest monthly power consumption cost of users, the upper layer model is established considering the system energy balance, energy storage charging and discharging constraints and energy storage state of charge constraints, so as to reduce the monthly maximum electricity demand and decrease demand charge. Taking the optimized monthly demand from the upper layer model, the day-ahead model is established, and the charging and discharging power of the shared energy storage, as well as the interactive power between users and the power grid are output to optimize comprehensive benefits of multiple types of industrial users and improve the photovoltaic absorption ability. Strategies for shared energy storage charging and discharging power, as well as user interaction power with the grid, are proposed to optimize the comprehensive benefits for various types of industrial users, ensuring daily economic efficiency under the premise of monthly overall economic optimality. Finally, the effectiveness of the proposed method is verified with the case study.https://www.epet-info.com/dlgcjsen/article/abstract/221104551shared energy storagehousehold photovoltaicbi-level optimizationuser comprehensive revenuephotovoltaic absorption capacitydemand of electricity |
| spellingShingle | MA Jiayi LIU Haitao ZHONG Cong YUAN Yubo ZHANG Xiaocheng Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic 电力工程技术 shared energy storage household photovoltaic bi-level optimization user comprehensive revenue photovoltaic absorption capacity demand of electricity |
| title | Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic |
| title_full | Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic |
| title_fullStr | Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic |
| title_full_unstemmed | Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic |
| title_short | Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic |
| title_sort | comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic |
| topic | shared energy storage household photovoltaic bi-level optimization user comprehensive revenue photovoltaic absorption capacity demand of electricity |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/221104551 |
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