Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model
The continuous increase of the penetration of distributed generation in the distribution network poses more severe challenges for its full accommodation. In this context, an energy storage system can be installed to enhance the ability to accommodate renewable energy because of its high flexibility....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/9/4/552 |
| _version_ | 1798039096093835264 |
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| author | Hang Jiang Li Tong Jian Zhao Qiushi Zhang Jingjing Zhao and Jinhui Zhou |
| author_facet | Hang Jiang Li Tong Jian Zhao Qiushi Zhang Jingjing Zhao and Jinhui Zhou |
| author_sort | Hang Jiang |
| collection | DOAJ |
| description | The continuous increase of the penetration of distributed generation in the distribution network poses more severe challenges for its full accommodation. In this context, an energy storage system can be installed to enhance the ability to accommodate renewable energy because of its high flexibility. However, the investment cost of brand new energy storage equipment is so high that the widespread application of storage system in the distribution system has been limited. This article proposes a method, which aimed at optimizing energy storage dispatching in a distribution network, and takes the use of second-use electric vehicles (EV) batteries into account. A calculation model of power battery second-use capacity was established, the upper and lower bounds of the initial capacity of second-use energy storage system (SUESS) can be determined after the reorganization of the retired batteries, and then a multi-objective optimal dispatching model for the distribution system with SUESS can be established with reference to the capacity attenuation model and the daily mileage statistics model of the electric vehicle. The case study results show that configured SUESS in the distribution network can not only meet the needs of the distribution network to fully accommodate distributed generation, but also delay the upgrade of the distribution network. |
| first_indexed | 2024-04-11T21:49:11Z |
| format | Article |
| id | doaj.art-1f520d11a51b4a1596333b58b62a1a1b |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T21:49:11Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-1f520d11a51b4a1596333b58b62a1a1b2022-12-22T04:01:18ZengMDPI AGElectronics2079-92922020-03-019455210.3390/electronics9040552electronics9040552Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation ModelHang Jiang0Li Tong1Jian Zhao2Qiushi Zhang3Jingjing Zhao4and Jinhui Zhou5State Grid Zhejiang Electric Power Research Institute, Hangzhou 310006, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou 310006, ChinaShanghai University of Electric Power, Shanghai 200090, ChinaShanghai University of Electric Power, Shanghai 200090, ChinaShanghai University of Electric Power, Shanghai 200090, ChinaState Grid Zhejiang Electric Power Research Institute, Hangzhou 310006, ChinaThe continuous increase of the penetration of distributed generation in the distribution network poses more severe challenges for its full accommodation. In this context, an energy storage system can be installed to enhance the ability to accommodate renewable energy because of its high flexibility. However, the investment cost of brand new energy storage equipment is so high that the widespread application of storage system in the distribution system has been limited. This article proposes a method, which aimed at optimizing energy storage dispatching in a distribution network, and takes the use of second-use electric vehicles (EV) batteries into account. A calculation model of power battery second-use capacity was established, the upper and lower bounds of the initial capacity of second-use energy storage system (SUESS) can be determined after the reorganization of the retired batteries, and then a multi-objective optimal dispatching model for the distribution system with SUESS can be established with reference to the capacity attenuation model and the daily mileage statistics model of the electric vehicle. The case study results show that configured SUESS in the distribution network can not only meet the needs of the distribution network to fully accommodate distributed generation, but also delay the upgrade of the distribution network.https://www.mdpi.com/2079-9292/9/4/552second-useelectric vehicle batteriesbattery capacity degradationdistribution networkrenewable hosting capacity |
| spellingShingle | Hang Jiang Li Tong Jian Zhao Qiushi Zhang Jingjing Zhao and Jinhui Zhou Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model Electronics second-use electric vehicle batteries battery capacity degradation distribution network renewable hosting capacity |
| title | Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model |
| title_full | Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model |
| title_fullStr | Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model |
| title_full_unstemmed | Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model |
| title_short | Distribution System Renewable Hosting Capacity Maximization with Second-use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model |
| title_sort | distribution system renewable hosting capacity maximization with second use electric vehicle storage using critical capacity retention calculation model |
| topic | second-use electric vehicle batteries battery capacity degradation distribution network renewable hosting capacity |
| url | https://www.mdpi.com/2079-9292/9/4/552 |
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