Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement
With a large number of distributed generation connected to the distribution network, the total supply capacity of the distribution network has been improved to a certain extent. However, due to the randomness of its output, it also brings some challenges to the reliable operation of the distribution...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9321405/ |
| _version_ | 1818521579892506624 |
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| author | Xiaoqin Wang Xudan Sheng Weixing Qiu Wanli He Jing Xu Yang Xin Jiabin Jv |
| author_facet | Xiaoqin Wang Xudan Sheng Weixing Qiu Wanli He Jing Xu Yang Xin Jiabin Jv |
| author_sort | Xiaoqin Wang |
| collection | DOAJ |
| description | With a large number of distributed generation connected to the distribution network, the total supply capacity of the distribution network has been improved to a certain extent. However, due to the randomness of its output, it also brings some challenges to the reliable operation of the distribution network and the restoration of power supply after failure. Based on this, this paper proposes an active distribution network reconfiguration strategy with uncertain factors for maximum total supply capacity improvement. Firstly, the evaluation index of the maximum total supply capacity of distribution network is constructed, and the maximum total supply capacity index under the current operation mode is evaluated online through the calculation model of maximum total supply capacity based on N-1 security criterion. Then, the uncertainty of wind power, photovoltaic and electric vehicle DG and the stochastic model of prosumer load are considered, random variables are generated by Latin hypercube sampling (LHS) and their correlation is considered. Then, it introduces that the position of sectionalizing switch and tie switch can be adjusted according to the dispatching demand. Based on the evaluation index of maximum total supply capacity and DG output of uncertain factors, the active reconfiguration model of distribution network after fault is proposed. Finally, a calculation example illustrates the effectiveness and correctness of the model in this paper. It is demonstrated that the model can optimize the selection strategy of Section switch and tie switch after the fault of distribution network, improve the utilization rate of distributed energy, and give full play to the power supply recovery potential of distribution network and reduce the outage time of prosumer groups. |
| first_indexed | 2024-12-11T01:53:02Z |
| format | Article |
| id | doaj.art-f714258cff20429e8ddff2bc30065137 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-11T01:53:02Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f714258cff20429e8ddff2bc300651372022-12-22T01:24:42ZengIEEEIEEE Access2169-35362022-01-0110723737238010.1109/ACCESS.2021.30512309321405Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity EnhancementXiaoqin Wang0https://orcid.org/0000-0002-9724-8859Xudan Sheng1Weixing Qiu2Wanli He3Jing Xu4Yang Xin5Jiabin Jv6https://orcid.org/0000-0002-6010-7761State Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaState Grid Shaoxing Electric Power Supply Company, Shaoxing, ChinaState Grid Shaoxing Electric Power Supply Company, Shaoxing, ChinaState Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaState Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaState Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaCollege of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaWith a large number of distributed generation connected to the distribution network, the total supply capacity of the distribution network has been improved to a certain extent. However, due to the randomness of its output, it also brings some challenges to the reliable operation of the distribution network and the restoration of power supply after failure. Based on this, this paper proposes an active distribution network reconfiguration strategy with uncertain factors for maximum total supply capacity improvement. Firstly, the evaluation index of the maximum total supply capacity of distribution network is constructed, and the maximum total supply capacity index under the current operation mode is evaluated online through the calculation model of maximum total supply capacity based on N-1 security criterion. Then, the uncertainty of wind power, photovoltaic and electric vehicle DG and the stochastic model of prosumer load are considered, random variables are generated by Latin hypercube sampling (LHS) and their correlation is considered. Then, it introduces that the position of sectionalizing switch and tie switch can be adjusted according to the dispatching demand. Based on the evaluation index of maximum total supply capacity and DG output of uncertain factors, the active reconfiguration model of distribution network after fault is proposed. Finally, a calculation example illustrates the effectiveness and correctness of the model in this paper. It is demonstrated that the model can optimize the selection strategy of Section switch and tie switch after the fault of distribution network, improve the utilization rate of distributed energy, and give full play to the power supply recovery potential of distribution network and reduce the outage time of prosumer groups.https://ieeexplore.ieee.org/document/9321405/Maximum total supply capacitydistributed generationuncertain factorslatin hypercube samplingdistribution network reconfiguration after fault |
| spellingShingle | Xiaoqin Wang Xudan Sheng Weixing Qiu Wanli He Jing Xu Yang Xin Jiabin Jv Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement IEEE Access Maximum total supply capacity distributed generation uncertain factors latin hypercube sampling distribution network reconfiguration after fault |
| title | Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement |
| title_full | Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement |
| title_fullStr | Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement |
| title_full_unstemmed | Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement |
| title_short | Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement |
| title_sort | fault reconfiguration strategies of active distribution network with uncertain factors for maximum supply capacity enhancement |
| topic | Maximum total supply capacity distributed generation uncertain factors latin hypercube sampling distribution network reconfiguration after fault |
| url | https://ieeexplore.ieee.org/document/9321405/ |
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