Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique
Abstract The battery energy storage system (EES) deployed in power system can effectively counteract the power fluctuation of renewable energy source. In the planning and operation process of grid side EES, however, the incorporation of power flow constraints into the optimization problem will stron...
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.12891 |
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| _version_ | 1846164200855961600 |
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| author | Hejun Yang Jingyin Wang Yinghao Ma Dabo Zhang Josep M. Guerrero |
| author_facet | Hejun Yang Jingyin Wang Yinghao Ma Dabo Zhang Josep M. Guerrero |
| author_sort | Hejun Yang |
| collection | DOAJ |
| description | Abstract The battery energy storage system (EES) deployed in power system can effectively counteract the power fluctuation of renewable energy source. In the planning and operation process of grid side EES, however, the incorporation of power flow constraints into the optimization problem will strongly affect the solving efficiency. Therefore, a bi‐level planning and operation co‐optimization model for EES is proposed based on a constraint boundarization technique. Firstly, a constraint boundarization method for considering power flow constraints is proposed to solve the efficiency problem of the optimization model. Secondly, in terms of the upper and lower bounds of storage's operation curve obtained by the constraint boundarization method, an operation risk evaluation index is defined to describe the potential risk of storage planning scheme. Thirdly, this paper establishes a bi‐level planning and operation co‐optimization model for EES, in which the planning problem with a goal of minimizing total cost is taken as an outer layer and the operation problem for pursuing renewable energy consumption and reducing the load curtailment is taken as an inner layer. Finally, case studies are carried out, and results demonstrate the feasibility and effectiveness of the proposed model and method. |
| format | Article |
| id | doaj-art-bbfc5813f44c4f83922c819e0b0c975f |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-bbfc5813f44c4f83922c819e0b0c975f2024-11-18T14:18:26ZengWileyIET Renewable Power Generation1752-14161752-14242024-11-0118152867287910.1049/rpg2.12891Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization techniqueHejun Yang0Jingyin Wang1Yinghao Ma2Dabo Zhang3Josep M. Guerrero4Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaAnhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaAnhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaAnhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of Technology Hefei ChinaDepartment of Energy Technology Aalborg University Aalborg DenmarkAbstract The battery energy storage system (EES) deployed in power system can effectively counteract the power fluctuation of renewable energy source. In the planning and operation process of grid side EES, however, the incorporation of power flow constraints into the optimization problem will strongly affect the solving efficiency. Therefore, a bi‐level planning and operation co‐optimization model for EES is proposed based on a constraint boundarization technique. Firstly, a constraint boundarization method for considering power flow constraints is proposed to solve the efficiency problem of the optimization model. Secondly, in terms of the upper and lower bounds of storage's operation curve obtained by the constraint boundarization method, an operation risk evaluation index is defined to describe the potential risk of storage planning scheme. Thirdly, this paper establishes a bi‐level planning and operation co‐optimization model for EES, in which the planning problem with a goal of minimizing total cost is taken as an outer layer and the operation problem for pursuing renewable energy consumption and reducing the load curtailment is taken as an inner layer. Finally, case studies are carried out, and results demonstrate the feasibility and effectiveness of the proposed model and method.https://doi.org/10.1049/rpg2.12891energy storage technologypower system operation and planningrenewable energy sources |
| spellingShingle | Hejun Yang Jingyin Wang Yinghao Ma Dabo Zhang Josep M. Guerrero Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique IET Renewable Power Generation energy storage technology power system operation and planning renewable energy sources |
| title | Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique |
| title_full | Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique |
| title_fullStr | Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique |
| title_full_unstemmed | Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique |
| title_short | Battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique |
| title_sort | battery energy storage system planning for promoting renewable energy consumption using a constraint boundarization technique |
| topic | energy storage technology power system operation and planning renewable energy sources |
| url | https://doi.org/10.1049/rpg2.12891 |
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