Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF

To solve the voltage deviation problem caused by the high penetration of distributed generation (DG) in the distribution networks, a strategy is proposed for optimal allocation of static var generator (SVG) with consideration of voltage mitigation of DG grid-connected inverter (GCIN) and voltage det...

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Main Authors: Jing XU, Shuya TIAN, Tiejun ZHAO, Xiaogang GAO, Ju YE, Lingyan BU, Wenmiao LIU
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2021-12-01
Series:Zhongguo dianli
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Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104032
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author Jing XU
Shuya TIAN
Tiejun ZHAO
Xiaogang GAO
Ju YE
Lingyan BU
Wenmiao LIU
author_facet Jing XU
Shuya TIAN
Tiejun ZHAO
Xiaogang GAO
Ju YE
Lingyan BU
Wenmiao LIU
author_sort Jing XU
collection DOAJ
description To solve the voltage deviation problem caused by the high penetration of distributed generation (DG) in the distribution networks, a strategy is proposed for optimal allocation of static var generator (SVG) with consideration of voltage mitigation of DG grid-connected inverter (GCIN) and voltage detection based active power filter (VDAPF). Firstly, a partitioning method based on community theory is proposed. And then, the dominant nodes in each region are selected as the candidate nodes of SVG to be installed. A multi-objective SVG optimal allocation model is established with minimum total cost of SVG and optimal mitigation effect of system voltage deviation, and the improved genetic algorithm is used to solve the allocation model. Considering the uncertainties of the remaining capacity of GCIN and VDAPF, the multi-scenario analysis technique is adopted to construct a series of voltage mitigation operation scenarios. A case study of the IEEE 33-bus distribution network is conducted to verify the effectiveness and rationality of the proposed strategy.
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issn 1004-9649
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publishDate 2021-12-01
publisher State Grid Energy Research Institute
record_format Article
series Zhongguo dianli
spelling doaj-art-547e7ec736d54f02a07775d77fc9ddd82025-08-20T02:57:32ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492021-12-01541221010.11930/j.issn.1004-9649.202104032zgdl-54-12-xujingOptimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APFJing XU0Shuya TIAN1Tiejun ZHAO2Xiaogang GAO3Ju YE4Lingyan BU5Wenmiao LIU6Qinhuangdao Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao 066004, ChinaKey Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University), Qinhuangdao 066004, ChinaQinhuangdao Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao 066004, ChinaQinhuangdao Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao 066004, ChinaQinhuangdao Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao 066004, ChinaState Grid Shenyang Electric Power Supply Company, Shenyang 110811, ChinaZhangjiakou Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Zhangjiakou 075000, ChinaTo solve the voltage deviation problem caused by the high penetration of distributed generation (DG) in the distribution networks, a strategy is proposed for optimal allocation of static var generator (SVG) with consideration of voltage mitigation of DG grid-connected inverter (GCIN) and voltage detection based active power filter (VDAPF). Firstly, a partitioning method based on community theory is proposed. And then, the dominant nodes in each region are selected as the candidate nodes of SVG to be installed. A multi-objective SVG optimal allocation model is established with minimum total cost of SVG and optimal mitigation effect of system voltage deviation, and the improved genetic algorithm is used to solve the allocation model. Considering the uncertainties of the remaining capacity of GCIN and VDAPF, the multi-scenario analysis technique is adopted to construct a series of voltage mitigation operation scenarios. A case study of the IEEE 33-bus distribution network is conducted to verify the effectiveness and rationality of the proposed strategy.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104032distribution networkvoltage mitigationpartitionstatic var generatoroptimal allocationscenario analysis
spellingShingle Jing XU
Shuya TIAN
Tiejun ZHAO
Xiaogang GAO
Ju YE
Lingyan BU
Wenmiao LIU
Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
Zhongguo dianli
distribution network
voltage mitigation
partition
static var generator
optimal allocation
scenario analysis
title Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
title_full Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
title_fullStr Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
title_full_unstemmed Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
title_short Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF
title_sort optimal allocation of svg considering voltage mitigation of dg grid connected inverter and apf
topic distribution network
voltage mitigation
partition
static var generator
optimal allocation
scenario analysis
url https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202104032
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