Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty
When large-scale wind power is connected to the power grid, the fluctuation and uncertainty in the wind power reduce the stability and accuracy of the grid's reactive voltage division results based on the electrical distance matrix and affect the grid's reactive power regulation. This pape...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9125888/ |
_version_ | 1818444192483901440 |
---|---|
author | Xu Zhang Yunlong Chen Yixian Wang Ruiting Ding Yuchuan Zheng Yi Wang Xiaobing Zha Xueting Cheng |
author_facet | Xu Zhang Yunlong Chen Yixian Wang Ruiting Ding Yuchuan Zheng Yi Wang Xiaobing Zha Xueting Cheng |
author_sort | Xu Zhang |
collection | DOAJ |
description | When large-scale wind power is connected to the power grid, the fluctuation and uncertainty in the wind power reduce the stability and accuracy of the grid's reactive voltage division results based on the electrical distance matrix and affect the grid's reactive power regulation. This paper proposes a grid reactive voltage partitioning method that considers the wind power stability and accuracy in a comprehensive manner. The wind power uncertainty and zoning results are characterized by the distribution of wind power forecast error intervals and changes in the zoning result nodes at different moments when the wind power is connected. Regarding volatility, according to the discretization of the probability distribution of the active power output at a certain time based on the wind power prediction, a calculation interval of the wind power output under a single cross-section is formed, and multiple sequential power flow sections within a long time scale are clustered and partitioned by an agglomeration hierarchical clustering method. Finally, an optimal zoning model of reactive voltage is established over a long time scale with the minimum comprehensive stability serving as the objective function. A simulation analysis of the improved IEEE39 node system shows that the partition combination can effectively increase the stability and accuracy of the reactive partitioning. |
first_indexed | 2024-12-14T19:12:02Z |
format | Article |
id | doaj.art-0c38562aa98847bfb0cb8f00aef4e0e3 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T19:12:02Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-0c38562aa98847bfb0cb8f00aef4e0e32022-12-21T22:50:41ZengIEEEIEEE Access2169-35362020-01-01812451412452510.1109/ACCESS.2020.30044849125888Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and UncertaintyXu Zhang0https://orcid.org/0000-0001-7964-1975Yunlong Chen1https://orcid.org/0000-0002-5821-7291Yixian Wang2https://orcid.org/0000-0002-5381-4548Ruiting Ding3https://orcid.org/0000-0003-0230-4318Yuchuan Zheng4https://orcid.org/0000-0001-9625-1039Yi Wang5https://orcid.org/0000-0002-3318-4980Xiaobing Zha6https://orcid.org/0000-0002-0379-995XXueting Cheng7School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaState Grid Taizhou Power Supply Company, Taizhou, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaMaintenance Division Headquarters, State Grid Jiangsu Electric Power Company Ltd., Nanjing, ChinaState Grid Shanxi Electric Power Company, Electric Power Research Institute, Taiyuan, ChinaWhen large-scale wind power is connected to the power grid, the fluctuation and uncertainty in the wind power reduce the stability and accuracy of the grid's reactive voltage division results based on the electrical distance matrix and affect the grid's reactive power regulation. This paper proposes a grid reactive voltage partitioning method that considers the wind power stability and accuracy in a comprehensive manner. The wind power uncertainty and zoning results are characterized by the distribution of wind power forecast error intervals and changes in the zoning result nodes at different moments when the wind power is connected. Regarding volatility, according to the discretization of the probability distribution of the active power output at a certain time based on the wind power prediction, a calculation interval of the wind power output under a single cross-section is formed, and multiple sequential power flow sections within a long time scale are clustered and partitioned by an agglomeration hierarchical clustering method. Finally, an optimal zoning model of reactive voltage is established over a long time scale with the minimum comprehensive stability serving as the objective function. A simulation analysis of the improved IEEE39 node system shows that the partition combination can effectively increase the stability and accuracy of the reactive partitioning.https://ieeexplore.ieee.org/document/9125888/Wind power active prediction intervalwind power fluctuationwind power uncertaintyhierarchical clustering algorithmreactive voltage partitioning |
spellingShingle | Xu Zhang Yunlong Chen Yixian Wang Ruiting Ding Yuchuan Zheng Yi Wang Xiaobing Zha Xueting Cheng Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty IEEE Access Wind power active prediction interval wind power fluctuation wind power uncertainty hierarchical clustering algorithm reactive voltage partitioning |
title | Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty |
title_full | Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty |
title_fullStr | Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty |
title_full_unstemmed | Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty |
title_short | Reactive Voltage Partitioning Method for the Power Grid With Comprehensive Consideration of Wind Power Fluctuation and Uncertainty |
title_sort | reactive voltage partitioning method for the power grid with comprehensive consideration of wind power fluctuation and uncertainty |
topic | Wind power active prediction interval wind power fluctuation wind power uncertainty hierarchical clustering algorithm reactive voltage partitioning |
url | https://ieeexplore.ieee.org/document/9125888/ |
work_keys_str_mv | AT xuzhang reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT yunlongchen reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT yixianwang reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT ruitingding reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT yuchuanzheng reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT yiwang reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT xiaobingzha reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty AT xuetingcheng reactivevoltagepartitioningmethodforthepowergridwithcomprehensiveconsiderationofwindpowerfluctuationanduncertainty |