Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network
Given the current situation of large-scale energy storage system (ESS) access in distribution network, a practical distributed ESS location and capacity optimization model is proposed. Firstly, a weighted voltage sensitivity is proposed to select the grid-connected node set of ESS. On this basis, th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8962025/ |
| _version_ | 1818853451947311104 |
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| author | Xiaobo Tang Kai Deng Qiuwei Wu Yulong Feng |
| author_facet | Xiaobo Tang Kai Deng Qiuwei Wu Yulong Feng |
| author_sort | Xiaobo Tang |
| collection | DOAJ |
| description | Given the current situation of large-scale energy storage system (ESS) access in distribution network, a practical distributed ESS location and capacity optimization model is proposed. Firstly, a weighted voltage sensitivity is proposed to select the grid-connected node set of ESS. On this basis, the distributed ESS location model is established, which aims at reducing voltage deviation and active power loss of the distribution network. Then, an ESS partition method based on the improved flame propagation model is proposed, and the partition results are obtained by constructing the flammability of nodes, the wind direction of flame propagation, speed of flame propagation and other indicators. Based on partition results, the capacity optimization model is established with the maximum annual net income of energy stored in the partition as the objective function. Finally, the improved IEEE-33 bus distribution network is used to demonstrate the effectiveness and feasibility of the proposed model. |
| first_indexed | 2024-12-19T07:37:02Z |
| format | Article |
| id | doaj.art-217b718dc6a14c908cb2abd0267fcba5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:37:02Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-217b718dc6a14c908cb2abd0267fcba52022-12-21T20:30:34ZengIEEEIEEE Access2169-35362020-01-018155761558510.1109/ACCESS.2020.29674358962025Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution NetworkXiaobo Tang0https://orcid.org/0000-0003-0100-6749Kai Deng1https://orcid.org/0000-0002-9124-614XQiuwei Wu2Yulong Feng3School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, ChinaGiven the current situation of large-scale energy storage system (ESS) access in distribution network, a practical distributed ESS location and capacity optimization model is proposed. Firstly, a weighted voltage sensitivity is proposed to select the grid-connected node set of ESS. On this basis, the distributed ESS location model is established, which aims at reducing voltage deviation and active power loss of the distribution network. Then, an ESS partition method based on the improved flame propagation model is proposed, and the partition results are obtained by constructing the flammability of nodes, the wind direction of flame propagation, speed of flame propagation and other indicators. Based on partition results, the capacity optimization model is established with the maximum annual net income of energy stored in the partition as the objective function. Finally, the improved IEEE-33 bus distribution network is used to demonstrate the effectiveness and feasibility of the proposed model.https://ieeexplore.ieee.org/document/8962025/Energy storage systemsensitivitypartitionflame propagation modellocation and capacity optimizationeconomic analysis |
| spellingShingle | Xiaobo Tang Kai Deng Qiuwei Wu Yulong Feng Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network IEEE Access Energy storage system sensitivity partition flame propagation model location and capacity optimization economic analysis |
| title | Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network |
| title_full | Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network |
| title_fullStr | Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network |
| title_full_unstemmed | Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network |
| title_short | Optimal Location and Capacity of the Distributed Energy Storage System in a Distribution Network |
| title_sort | optimal location and capacity of the distributed energy storage system in a distribution network |
| topic | Energy storage system sensitivity partition flame propagation model location and capacity optimization economic analysis |
| url | https://ieeexplore.ieee.org/document/8962025/ |
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