Loading…

Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market

Deregulation of the electric power industry has introduced new uncertainties for market participants and made planning of transmission expansion more difficult. More flexible transmission expansion plans are needed, to cope with the increased risks. In this paper, a novel planning approach is propos...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on power systems 2009-02, Vol.24 (1), p.479-488
Main Authors:	Jun Hua Zhao, Zhao Yang Dong, Lindsay, P., Kit Po Wong
Format:	Article
Language:	English
Subjects:	Australia Availability Costs Deregulation Electricity market Electricity supply industry Information technology Markets Mathematical models Meeting planning Mixed integer Nonlinear programming optimization Power generation Power system planning Process planning Risk risk management Statistics Uncertainty
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-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93
cites	cdi_FETCH-LOGICAL-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93
container_end_page	488
container_issue	1
container_start_page	479
container_title	IEEE transactions on power systems
container_volume	24
creator	Jun Hua Zhao Zhao Yang Dong Lindsay, P. Kit Po Wong
description	Deregulation of the electric power industry has introduced new uncertainties for market participants and made planning of transmission expansion more difficult. More flexible transmission expansion plans are needed, to cope with the increased risks. In this paper, a novel planning approach is proposed to meet the above challenge. In our approach, the planning process is modeled as a mixed integer nonlinear programming (MINLP) problem, so that conflicting objectives can be optimized simultaneously. To minimize planning risks, our method identifies several scenarios based on statistics and expert knowledge; the most flexible expansion plan is selected as the plan that has least adaptation cost. The proposed method is tested with the IEEE 14-bus system. Promising results are obtained to demonstrate the effectiveness of our method.
doi_str_mv	10.1109/TPWRS.2008.2008681
format	article
fullrecord	<record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671286846</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4749368</ieee_id><sourcerecordid>2302924731</sourcerecordid><originalsourceid>FETCH-LOGICAL-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93</originalsourceid><addsrcrecordid>eNp9kU1LJDEQhoO4sKO7f2C9NB7ES7v57spRxC8YUXZHPIZ0plqjbXpMemD892Yc8eDBSypFPW9RVS8hfxg9Yoyav7Obu3__jzil8P5oYFtkwpSCmurGbJMJBVA1GEV_kp2cHymluhQmZHbW4yq0PVaz5GJ-DjmHIVanq0XJ1r-b3sUY4n11F8aH6jZ6TKMLcQyYqxArV9ge_ZiCD-NrdeXSE46_yI_O9Rl_f8Rdcnt2Oju5qKfX55cnx9PaCwVjjUzTOVeSCpx7Bo1puWmFl4py1jnHUQrRyQ4EtNS1nZJzD8ClBsWbdt4asUsONn0XaXhZYh5tmd9jX0bGYZmtkNJQxZoCHn4LMt0wXq4mdUH3v6CPwzLFsoYFBdpoaFiB-Abyacg5YWcXKTy79GoZtWtD7Lshdu2F_TCkiPY2ooCInwLZSCM0iDcoyYcZ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>858696871</pqid></control><display><type>article</type><title>Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market</title><source>IEEE Xplore (Online service)</source><creator>Jun Hua Zhao ; Zhao Yang Dong ; Lindsay, P. ; Kit Po Wong</creator><creatorcontrib>Jun Hua Zhao ; Zhao Yang Dong ; Lindsay, P. ; Kit Po Wong</creatorcontrib><description>Deregulation of the electric power industry has introduced new uncertainties for market participants and made planning of transmission expansion more difficult. More flexible transmission expansion plans are needed, to cope with the increased risks. In this paper, a novel planning approach is proposed to meet the above challenge. In our approach, the planning process is modeled as a mixed integer nonlinear programming (MINLP) problem, so that conflicting objectives can be optimized simultaneously. To minimize planning risks, our method identifies several scenarios based on statistics and expert knowledge; the most flexible expansion plan is selected as the plan that has least adaptation cost. The proposed method is tested with the IEEE 14-bus system. Promising results are obtained to demonstrate the effectiveness of our method.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2008.2008681</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Australia ; Availability ; Costs ; Deregulation ; Electricity market ; Electricity supply industry ; Information technology ; Markets ; Mathematical models ; Meeting planning ; Mixed integer ; Nonlinear programming ; optimization ; Power generation ; Power system planning ; Process planning ; Risk ; risk management ; Statistics ; Uncertainty</subject><ispartof>IEEE transactions on power systems, 2009-02, Vol.24 (1), p.479-488</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93</citedby><cites>FETCH-LOGICAL-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4749368$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Jun Hua Zhao</creatorcontrib><creatorcontrib>Zhao Yang Dong</creatorcontrib><creatorcontrib>Lindsay, P.</creatorcontrib><creatorcontrib>Kit Po Wong</creatorcontrib><title>Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>Deregulation of the electric power industry has introduced new uncertainties for market participants and made planning of transmission expansion more difficult. More flexible transmission expansion plans are needed, to cope with the increased risks. In this paper, a novel planning approach is proposed to meet the above challenge. In our approach, the planning process is modeled as a mixed integer nonlinear programming (MINLP) problem, so that conflicting objectives can be optimized simultaneously. To minimize planning risks, our method identifies several scenarios based on statistics and expert knowledge; the most flexible expansion plan is selected as the plan that has least adaptation cost. The proposed method is tested with the IEEE 14-bus system. Promising results are obtained to demonstrate the effectiveness of our method.</description><subject>Australia</subject><subject>Availability</subject><subject>Costs</subject><subject>Deregulation</subject><subject>Electricity market</subject><subject>Electricity supply industry</subject><subject>Information technology</subject><subject>Markets</subject><subject>Mathematical models</subject><subject>Meeting planning</subject><subject>Mixed integer</subject><subject>Nonlinear programming</subject><subject>optimization</subject><subject>Power generation</subject><subject>Power system planning</subject><subject>Process planning</subject><subject>Risk</subject><subject>risk management</subject><subject>Statistics</subject><subject>Uncertainty</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LJDEQhoO4sKO7f2C9NB7ES7v57spRxC8YUXZHPIZ0plqjbXpMemD892Yc8eDBSypFPW9RVS8hfxg9Yoyav7Obu3__jzil8P5oYFtkwpSCmurGbJMJBVA1GEV_kp2cHymluhQmZHbW4yq0PVaz5GJ-DjmHIVanq0XJ1r-b3sUY4n11F8aH6jZ6TKMLcQyYqxArV9ge_ZiCD-NrdeXSE46_yI_O9Rl_f8Rdcnt2Oju5qKfX55cnx9PaCwVjjUzTOVeSCpx7Bo1puWmFl4py1jnHUQrRyQ4EtNS1nZJzD8ClBsWbdt4asUsONn0XaXhZYh5tmd9jX0bGYZmtkNJQxZoCHn4LMt0wXq4mdUH3v6CPwzLFsoYFBdpoaFiB-Abyacg5YWcXKTy79GoZtWtD7Lshdu2F_TCkiPY2ooCInwLZSCM0iDcoyYcZ</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Jun Hua Zhao</creator><creator>Zhao Yang Dong</creator><creator>Lindsay, P.</creator><creator>Kit Po Wong</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>20090201</creationdate><title>Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market</title><author>Jun Hua Zhao ; Zhao Yang Dong ; Lindsay, P. ; Kit Po Wong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Australia</topic><topic>Availability</topic><topic>Costs</topic><topic>Deregulation</topic><topic>Electricity market</topic><topic>Electricity supply industry</topic><topic>Information technology</topic><topic>Markets</topic><topic>Mathematical models</topic><topic>Meeting planning</topic><topic>Mixed integer</topic><topic>Nonlinear programming</topic><topic>optimization</topic><topic>Power generation</topic><topic>Power system planning</topic><topic>Process planning</topic><topic>Risk</topic><topic>risk management</topic><topic>Statistics</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jun Hua Zhao</creatorcontrib><creatorcontrib>Zhao Yang Dong</creatorcontrib><creatorcontrib>Lindsay, P.</creatorcontrib><creatorcontrib>Kit Po Wong</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) Online</collection><collection>IEEE Electronic Library Online</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jun Hua Zhao</au><au>Zhao Yang Dong</au><au>Lindsay, P.</au><au>Kit Po Wong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2009-02-01</date><risdate>2009</risdate><volume>24</volume><issue>1</issue><spage>479</spage><epage>488</epage><pages>479-488</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>Deregulation of the electric power industry has introduced new uncertainties for market participants and made planning of transmission expansion more difficult. More flexible transmission expansion plans are needed, to cope with the increased risks. In this paper, a novel planning approach is proposed to meet the above challenge. In our approach, the planning process is modeled as a mixed integer nonlinear programming (MINLP) problem, so that conflicting objectives can be optimized simultaneously. To minimize planning risks, our method identifies several scenarios based on statistics and expert knowledge; the most flexible expansion plan is selected as the plan that has least adaptation cost. The proposed method is tested with the IEEE 14-bus system. Promising results are obtained to demonstrate the effectiveness of our method.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2008.2008681</doi><tpages>10</tpages></addata></record>
fulltext	fulltext
identifier	ISSN: 0885-8950
ispartof	IEEE transactions on power systems, 2009-02, Vol.24 (1), p.479-488
issn	0885-8950 1558-0679
language	eng
recordid	cdi_proquest_miscellaneous_1671286846
source	IEEE Xplore (Online service)
subjects	Australia Availability Costs Deregulation Electricity market Electricity supply industry Information technology Markets Mathematical models Meeting planning Mixed integer Nonlinear programming optimization Power generation Power system planning Process planning Risk risk management Statistics Uncertainty
title	Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T14%3A23%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Flexible%20Transmission%20Expansion%20Planning%20With%20Uncertainties%20in%20an%20Electricity%20Market&rft.jtitle=IEEE%20transactions%20on%20power%20systems&rft.au=Jun%20Hua%20Zhao&rft.date=2009-02-01&rft.volume=24&rft.issue=1&rft.spage=479&rft.epage=488&rft.pages=479-488&rft.issn=0885-8950&rft.eissn=1558-0679&rft.coden=ITPSEG&rft_id=info:doi/10.1109/TPWRS.2008.2008681&rft_dat=%3Cproquest_ieee_%3E2302924731%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c358t-e160d25403edc1879b29b3c45021faa2e433f4f838b0abf54dc882468527bdb93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=858696871&rft_id=info:pmid/&rft_ieee_id=4749368&rfr_iscdi=true