Loading…

Long-Term Voltage Instability Detections of Multiple Fixed-Speed Induction Generators in Distribution Networks Using Synchrophasors

As the penetration of renewable energy sources is increasing, the long-term voltage stability (LTVS) of fixed-speed induction generators (FSIGs) has raised a major concern for distribution power networks since they will always consume reactive power. When either the voltage profile of the FSIG sever...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on smart grid 2015-07, Vol.6 (4), p.2069-2079
Main Authors: Liu, Jian-Hong, Chu, Chia-Chi
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3
cites cdi_FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3
container_end_page 2079
container_issue 4
container_start_page 2069
container_title IEEE transactions on smart grid
container_volume 6
creator Liu, Jian-Hong
Chu, Chia-Chi
description As the penetration of renewable energy sources is increasing, the long-term voltage stability (LTVS) of fixed-speed induction generators (FSIGs) has raised a major concern for distribution power networks since they will always consume reactive power. When either the voltage profile of the FSIG severely declines due to the load consumption increasing in the nearby area, or the mechanical power of the wind turbine increases owing to the wind speed increasing, the loss of the stable equilibrium point will result in this class of long-term voltage instability problems. Although this problem is a local phenomenon, it may spread to the rest of the system and cause the cascaded blackout. Meanwhile, with massive deployment of synchrophasor technology, it is possible to improve system awareness and enable early warning to detect this class of LTVS problems in real-time. In this paper, a measurement-based algorithm for synchrophasor long-term voltage stability indicator (SLVSI) will be proposed. First, qualitative analysis of this class of LTVS problems is conducted by corresponding bifurcation diagrams and hysteretic curves. Secondly, a measurement-based FSIG equivalent model is proposed by utilizing real-time phasor measurements from synchrophasors. The above concept can be extended to distribution power networks with multiple FSIGs. The entire distribution power grid will be considered as a modified coupled single-port network. By exploring the concept of reactive power response factor, the corresponding Thevenin equivalent parameter of each individual FSIG branch is adjusted based on real-time phasor measurements. Thus, a SLVSI for each individual FSIG can be defined by modifying the conventional L-index. Simulation experiments on two IEEE test systems are performed to validate the accuracy of the proposed SLVSI.
doi_str_mv 10.1109/TSG.2014.2379716
format article
fullrecord <record><control><sourceid>crossref_ieee_</sourceid><recordid>TN_cdi_ieee_primary_6999945</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6999945</ieee_id><sourcerecordid>10_1109_TSG_2014_2379716</sourcerecordid><originalsourceid>FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3</originalsourceid><addsrcrecordid>eNo9kE9PAjEQxRujiUS5m3jpF1hst9uyPRoQJEE9AF433e0sVJftpi1Rzn5xy5_wLjPJ_N5k5iH0QMmAUiKflovpICU0G6RsKIdUXKEelZlMGBH0-tJzdov63n-RKMaYSGUP_c1tu06W4Lb40zZBrQHPWh9UaRoT9ngMAapgbOuxrfHbrgmmawBPzC_oZNEB6Ijr3RHBU2jBqWCdx6bFY-ODM-XuOHqH8GPdt8crb9o1XuzbauNst1E-0vfoplaNh_653qHV5GU5ek3mH9PZ6HmeVPHakGieM1HXnOda0VxpXqVcCMUypuUwjZ9rlfFaUJHrUgGUDDIpuK60YgqEKNkdIqe9lbPeO6iLzpmtcvuCkuKQYxFzLA45Fucco-XxZDEAcMGFjMo4-wcz2XJW</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Long-Term Voltage Instability Detections of Multiple Fixed-Speed Induction Generators in Distribution Networks Using Synchrophasors</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Liu, Jian-Hong ; Chu, Chia-Chi</creator><creatorcontrib>Liu, Jian-Hong ; Chu, Chia-Chi</creatorcontrib><description>As the penetration of renewable energy sources is increasing, the long-term voltage stability (LTVS) of fixed-speed induction generators (FSIGs) has raised a major concern for distribution power networks since they will always consume reactive power. When either the voltage profile of the FSIG severely declines due to the load consumption increasing in the nearby area, or the mechanical power of the wind turbine increases owing to the wind speed increasing, the loss of the stable equilibrium point will result in this class of long-term voltage instability problems. Although this problem is a local phenomenon, it may spread to the rest of the system and cause the cascaded blackout. Meanwhile, with massive deployment of synchrophasor technology, it is possible to improve system awareness and enable early warning to detect this class of LTVS problems in real-time. In this paper, a measurement-based algorithm for synchrophasor long-term voltage stability indicator (SLVSI) will be proposed. First, qualitative analysis of this class of LTVS problems is conducted by corresponding bifurcation diagrams and hysteretic curves. Secondly, a measurement-based FSIG equivalent model is proposed by utilizing real-time phasor measurements from synchrophasors. The above concept can be extended to distribution power networks with multiple FSIGs. The entire distribution power grid will be considered as a modified coupled single-port network. By exploring the concept of reactive power response factor, the corresponding Thevenin equivalent parameter of each individual FSIG branch is adjusted based on real-time phasor measurements. Thus, a SLVSI for each individual FSIG can be defined by modifying the conventional L-index. Simulation experiments on two IEEE test systems are performed to validate the accuracy of the proposed SLVSI.</description><identifier>ISSN: 1949-3053</identifier><identifier>EISSN: 1949-3061</identifier><identifier>DOI: 10.1109/TSG.2014.2379716</identifier><identifier>CODEN: ITSGBQ</identifier><language>eng</language><publisher>IEEE</publisher><subject>Equivalent circuits ; Fixed-speed induction generators (FSIGs) ; Integrated circuit modeling ; long-term voltage stability (LTVS) ; modified coupled single-port network ; Power system stability ; synchrophasors ; Thevenin equivalent circuits ; Torque ; Transmission line measurements ; Voltage measurement ; Wind speed</subject><ispartof>IEEE transactions on smart grid, 2015-07, Vol.6 (4), p.2069-2079</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3</citedby><cites>FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6999945$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Liu, Jian-Hong</creatorcontrib><creatorcontrib>Chu, Chia-Chi</creatorcontrib><title>Long-Term Voltage Instability Detections of Multiple Fixed-Speed Induction Generators in Distribution Networks Using Synchrophasors</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>As the penetration of renewable energy sources is increasing, the long-term voltage stability (LTVS) of fixed-speed induction generators (FSIGs) has raised a major concern for distribution power networks since they will always consume reactive power. When either the voltage profile of the FSIG severely declines due to the load consumption increasing in the nearby area, or the mechanical power of the wind turbine increases owing to the wind speed increasing, the loss of the stable equilibrium point will result in this class of long-term voltage instability problems. Although this problem is a local phenomenon, it may spread to the rest of the system and cause the cascaded blackout. Meanwhile, with massive deployment of synchrophasor technology, it is possible to improve system awareness and enable early warning to detect this class of LTVS problems in real-time. In this paper, a measurement-based algorithm for synchrophasor long-term voltage stability indicator (SLVSI) will be proposed. First, qualitative analysis of this class of LTVS problems is conducted by corresponding bifurcation diagrams and hysteretic curves. Secondly, a measurement-based FSIG equivalent model is proposed by utilizing real-time phasor measurements from synchrophasors. The above concept can be extended to distribution power networks with multiple FSIGs. The entire distribution power grid will be considered as a modified coupled single-port network. By exploring the concept of reactive power response factor, the corresponding Thevenin equivalent parameter of each individual FSIG branch is adjusted based on real-time phasor measurements. Thus, a SLVSI for each individual FSIG can be defined by modifying the conventional L-index. Simulation experiments on two IEEE test systems are performed to validate the accuracy of the proposed SLVSI.</description><subject>Equivalent circuits</subject><subject>Fixed-speed induction generators (FSIGs)</subject><subject>Integrated circuit modeling</subject><subject>long-term voltage stability (LTVS)</subject><subject>modified coupled single-port network</subject><subject>Power system stability</subject><subject>synchrophasors</subject><subject>Thevenin equivalent circuits</subject><subject>Torque</subject><subject>Transmission line measurements</subject><subject>Voltage measurement</subject><subject>Wind speed</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNo9kE9PAjEQxRujiUS5m3jpF1hst9uyPRoQJEE9AF433e0sVJftpi1Rzn5xy5_wLjPJ_N5k5iH0QMmAUiKflovpICU0G6RsKIdUXKEelZlMGBH0-tJzdov63n-RKMaYSGUP_c1tu06W4Lb40zZBrQHPWh9UaRoT9ngMAapgbOuxrfHbrgmmawBPzC_oZNEB6Ijr3RHBU2jBqWCdx6bFY-ODM-XuOHqH8GPdt8crb9o1XuzbauNst1E-0vfoplaNh_653qHV5GU5ek3mH9PZ6HmeVPHakGieM1HXnOda0VxpXqVcCMUypuUwjZ9rlfFaUJHrUgGUDDIpuK60YgqEKNkdIqe9lbPeO6iLzpmtcvuCkuKQYxFzLA45Fucco-XxZDEAcMGFjMo4-wcz2XJW</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Liu, Jian-Hong</creator><creator>Chu, Chia-Chi</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20150701</creationdate><title>Long-Term Voltage Instability Detections of Multiple Fixed-Speed Induction Generators in Distribution Networks Using Synchrophasors</title><author>Liu, Jian-Hong ; Chu, Chia-Chi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Equivalent circuits</topic><topic>Fixed-speed induction generators (FSIGs)</topic><topic>Integrated circuit modeling</topic><topic>long-term voltage stability (LTVS)</topic><topic>modified coupled single-port network</topic><topic>Power system stability</topic><topic>synchrophasors</topic><topic>Thevenin equivalent circuits</topic><topic>Torque</topic><topic>Transmission line measurements</topic><topic>Voltage measurement</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jian-Hong</creatorcontrib><creatorcontrib>Chu, Chia-Chi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE transactions on smart grid</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jian-Hong</au><au>Chu, Chia-Chi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-Term Voltage Instability Detections of Multiple Fixed-Speed Induction Generators in Distribution Networks Using Synchrophasors</atitle><jtitle>IEEE transactions on smart grid</jtitle><stitle>TSG</stitle><date>2015-07-01</date><risdate>2015</risdate><volume>6</volume><issue>4</issue><spage>2069</spage><epage>2079</epage><pages>2069-2079</pages><issn>1949-3053</issn><eissn>1949-3061</eissn><coden>ITSGBQ</coden><abstract>As the penetration of renewable energy sources is increasing, the long-term voltage stability (LTVS) of fixed-speed induction generators (FSIGs) has raised a major concern for distribution power networks since they will always consume reactive power. When either the voltage profile of the FSIG severely declines due to the load consumption increasing in the nearby area, or the mechanical power of the wind turbine increases owing to the wind speed increasing, the loss of the stable equilibrium point will result in this class of long-term voltage instability problems. Although this problem is a local phenomenon, it may spread to the rest of the system and cause the cascaded blackout. Meanwhile, with massive deployment of synchrophasor technology, it is possible to improve system awareness and enable early warning to detect this class of LTVS problems in real-time. In this paper, a measurement-based algorithm for synchrophasor long-term voltage stability indicator (SLVSI) will be proposed. First, qualitative analysis of this class of LTVS problems is conducted by corresponding bifurcation diagrams and hysteretic curves. Secondly, a measurement-based FSIG equivalent model is proposed by utilizing real-time phasor measurements from synchrophasors. The above concept can be extended to distribution power networks with multiple FSIGs. The entire distribution power grid will be considered as a modified coupled single-port network. By exploring the concept of reactive power response factor, the corresponding Thevenin equivalent parameter of each individual FSIG branch is adjusted based on real-time phasor measurements. Thus, a SLVSI for each individual FSIG can be defined by modifying the conventional L-index. Simulation experiments on two IEEE test systems are performed to validate the accuracy of the proposed SLVSI.</abstract><pub>IEEE</pub><doi>10.1109/TSG.2014.2379716</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1949-3053
ispartof IEEE transactions on smart grid, 2015-07, Vol.6 (4), p.2069-2079
issn 1949-3053
1949-3061
language eng
recordid cdi_ieee_primary_6999945
source IEEE Electronic Library (IEL) Journals
subjects Equivalent circuits
Fixed-speed induction generators (FSIGs)
Integrated circuit modeling
long-term voltage stability (LTVS)
modified coupled single-port network
Power system stability
synchrophasors
Thevenin equivalent circuits
Torque
Transmission line measurements
Voltage measurement
Wind speed
title Long-Term Voltage Instability Detections of Multiple Fixed-Speed Induction Generators in Distribution Networks Using Synchrophasors
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T13%3A34%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Long-Term%20Voltage%20Instability%20Detections%20of%20Multiple%20Fixed-Speed%20Induction%20Generators%20in%20Distribution%20Networks%20Using%20Synchrophasors&rft.jtitle=IEEE%20transactions%20on%20smart%20grid&rft.au=Liu,%20Jian-Hong&rft.date=2015-07-01&rft.volume=6&rft.issue=4&rft.spage=2069&rft.epage=2079&rft.pages=2069-2079&rft.issn=1949-3053&rft.eissn=1949-3061&rft.coden=ITSGBQ&rft_id=info:doi/10.1109/TSG.2014.2379716&rft_dat=%3Ccrossref_ieee_%3E10_1109_TSG_2014_2379716%3C/crossref_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c333t-d5836ff558da18ad5c2566a343d972237da45f6168dbaeeb3e4965dcda3ae66b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6999945&rfr_iscdi=true