Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network
In this paper, a method for rationally allocating energy storage capacity in a high-permeability distribution network is proposed. By constructing a bi-level programming model, the optimal capacity of energy storage connected to the distribution network is allocated by considering the operating cost...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/5/2168 |
| _version_ | 1797615480953896960 |
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| author | Jinhua Zhang Liding Zhu Shengchao Zhao Jie Yan Lingling Lv |
| author_facet | Jinhua Zhang Liding Zhu Shengchao Zhao Jie Yan Lingling Lv |
| author_sort | Jinhua Zhang |
| collection | DOAJ |
| description | In this paper, a method for rationally allocating energy storage capacity in a high-permeability distribution network is proposed. By constructing a bi-level programming model, the optimal capacity of energy storage connected to the distribution network is allocated by considering the operating cost, load fluctuation, and battery charging and discharging strategy. By constructing four scenarios with energy storage in the distribution network with a photovoltaic permeability of 29%, it was found that the bi-level decision-making model proposed in this paper saves 2346.66 yuan and 2055.05 yuan, respectively, in daily operation cost compared to the scenario without energy storage and the scenario with single-layer energy storage. After accessing IEEE-33 nodes for simulation verification, it was found that the bi-level decision-making model proposed in this paper has a good inhibition effect on voltage fluctuation and load fluctuation after energy storage configuration. In addition, this paper analyzes the energy storage that can be accessed by photovoltaic distribution networks with different permeability and finds that when photovoltaic permeability reaches 45% and corresponding energy storage is configured, the economic and energy storage benefits of the system are the best. |
| first_indexed | 2024-03-11T07:26:56Z |
| format | Article |
| id | doaj.art-de766b0d345f4ee2858b1d8c3d2ef793 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T07:26:56Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-de766b0d345f4ee2858b1d8c3d2ef7932023-11-17T07:35:04ZengMDPI AGEnergies1996-10732023-02-01165216810.3390/en16052168Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution NetworkJinhua Zhang0Liding Zhu1Shengchao Zhao2Jie Yan3Lingling Lv4School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaState Key Laboratory of New Energy Power System, School of New Energy, North China Electric Power University, Beijing 100096, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaIn this paper, a method for rationally allocating energy storage capacity in a high-permeability distribution network is proposed. By constructing a bi-level programming model, the optimal capacity of energy storage connected to the distribution network is allocated by considering the operating cost, load fluctuation, and battery charging and discharging strategy. By constructing four scenarios with energy storage in the distribution network with a photovoltaic permeability of 29%, it was found that the bi-level decision-making model proposed in this paper saves 2346.66 yuan and 2055.05 yuan, respectively, in daily operation cost compared to the scenario without energy storage and the scenario with single-layer energy storage. After accessing IEEE-33 nodes for simulation verification, it was found that the bi-level decision-making model proposed in this paper has a good inhibition effect on voltage fluctuation and load fluctuation after energy storage configuration. In addition, this paper analyzes the energy storage that can be accessed by photovoltaic distribution networks with different permeability and finds that when photovoltaic permeability reaches 45% and corresponding energy storage is configured, the economic and energy storage benefits of the system are the best.https://www.mdpi.com/1996-1073/16/5/2168high PV penetrationenergy storageoptimal configurationbi-level decision-making models |
| spellingShingle | Jinhua Zhang Liding Zhu Shengchao Zhao Jie Yan Lingling Lv Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network Energies high PV penetration energy storage optimal configuration bi-level decision-making models |
| title | Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network |
| title_full | Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network |
| title_fullStr | Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network |
| title_full_unstemmed | Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network |
| title_short | Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network |
| title_sort | optimal configuration of energy storage systems in high pv penetrating distribution network |
| topic | high PV penetration energy storage optimal configuration bi-level decision-making models |
| url | https://www.mdpi.com/1996-1073/16/5/2168 |
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