Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance

Voltage sag control is non-standardized. Due to the lack of user-side details, it is hard to estimate the control capacity, which frequently causes excessive or inadequate sag controls. Considering the fact that the control object is affected by the multidimensional characteristics of voltage sags,...

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Main Authors: Chengyu LU, Hongyang HUANG, Qunwei XU, Yujun HE, Ying WANG
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2021-08-01
Series:Zhongguo dianli
Subjects:
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007179
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author Chengyu LU
Hongyang HUANG
Qunwei XU
Yujun HE
Ying WANG
author_facet Chengyu LU
Hongyang HUANG
Qunwei XU
Yujun HE
Ying WANG
author_sort Chengyu LU
collection DOAJ
description Voltage sag control is non-standardized. Due to the lack of user-side details, it is hard to estimate the control capacity, which frequently causes excessive or inadequate sag controls. Considering the fact that the control object is affected by the multidimensional characteristics of voltage sags, we carry out a study on the problem of tolerance ability and control capacity identification of the control objects, and propose a Hausdorff distance identification method for sensitive equipment tolerance ability with consideration of the their sag multidimensional characteristics. By introducing the concept of pattern library, the fuzzy membership is used to judge the voltage tolerance ability of control objects. On this basis, an improved voltage sag severity index is put forward, and a control capacity identification method is proposed based on the improved sag severity index and control object capacity ratio. And then the required control cost is estimated. Based on the actual monitoring data of a city power grid, a case study shows that the proposed method is effective and reasonable, and is easy for practical application.
format Article
id doaj-art-3e45cdebf5d44468b4f69fe42ecc5ff4
institution OA Journals
issn 1004-9649
language zho
publishDate 2021-08-01
publisher State Grid Energy Research Institute
record_format Article
series Zhongguo dianli
spelling doaj-art-3e45cdebf5d44468b4f69fe42ecc5ff42025-08-20T02:05:07ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492021-08-01548111810.11930/j.issn.1004-9649.202007179zgdl-54-5-luchengyuCost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff DistanceChengyu LU0Hongyang HUANG1Qunwei XU2Yujun HE3Ying WANG4Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, ChinaElectric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, ChinaElectric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310014, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaVoltage sag control is non-standardized. Due to the lack of user-side details, it is hard to estimate the control capacity, which frequently causes excessive or inadequate sag controls. Considering the fact that the control object is affected by the multidimensional characteristics of voltage sags, we carry out a study on the problem of tolerance ability and control capacity identification of the control objects, and propose a Hausdorff distance identification method for sensitive equipment tolerance ability with consideration of the their sag multidimensional characteristics. By introducing the concept of pattern library, the fuzzy membership is used to judge the voltage tolerance ability of control objects. On this basis, an improved voltage sag severity index is put forward, and a control capacity identification method is proposed based on the improved sag severity index and control object capacity ratio. And then the required control cost is estimated. Based on the actual monitoring data of a city power grid, a case study shows that the proposed method is effective and reasonable, and is easy for practical application.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007179voltage sag controlsag multi-characteristichausdorff distancefuzzy membershipcontrol capacitycontrol cost estimation
spellingShingle Chengyu LU
Hongyang HUANG
Qunwei XU
Yujun HE
Ying WANG
Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance
Zhongguo dianli
voltage sag control
sag multi-characteristic
hausdorff distance
fuzzy membership
control capacity
control cost estimation
title Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance
title_full Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance
title_fullStr Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance
title_full_unstemmed Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance
title_short Cost Estimation for Voltage Sag Control Based on Multidimensional Characteristics and Hausdorff Distance
title_sort cost estimation for voltage sag control based on multidimensional characteristics and hausdorff distance
topic voltage sag control
sag multi-characteristic
hausdorff distance
fuzzy membership
control capacity
control cost estimation
url https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202007179
work_keys_str_mv AT chengyulu costestimationforvoltagesagcontrolbasedonmultidimensionalcharacteristicsandhausdorffdistance
AT hongyanghuang costestimationforvoltagesagcontrolbasedonmultidimensionalcharacteristicsandhausdorffdistance
AT qunweixu costestimationforvoltagesagcontrolbasedonmultidimensionalcharacteristicsandhausdorffdistance
AT yujunhe costestimationforvoltagesagcontrolbasedonmultidimensionalcharacteristicsandhausdorffdistance
AT yingwang costestimationforvoltagesagcontrolbasedonmultidimensionalcharacteristicsandhausdorffdistance