Profit Maximization of Wind Power Plants in the Electricity Market Based on Linking Models Between Energy Sources

A major barrier to wind sources when participating in an electricity market is inaccurate forecasting of wind power. The wind power uncertainty affects the plant’s scheduled generation power, bidding price, and profitability. The profits of wind farms may be increased by determining the suitability...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Arabian journal for science and engineering (2011) 2024-05, Vol.49 (5), p.6275-6291
Hauptverfasser: Truong, Viet Anh, Dinh, Ngoc Sang, Duong, Thanh Long
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6291
container_issue 5
container_start_page 6275
container_title Arabian journal for science and engineering (2011)
container_volume 49
creator Truong, Viet Anh
Dinh, Ngoc Sang
Duong, Thanh Long
description A major barrier to wind sources when participating in an electricity market is inaccurate forecasting of wind power. The wind power uncertainty affects the plant’s scheduled generation power, bidding price, and profitability. The profits of wind farms may be increased by determining the suitability of power output and bidding strategy in the electricity market, which is one of the challenges for wind plant producers because it is difficult to predict wind power accurately. To solve this problem, wind farm owners need to have plans to reserve power or link with other wind plants to be able to fully meet the contracted power. This paper proposed models linking wind farms or wind farms and other energy sources such as thermal power and energy storage systems. The simulation results on the IEEE 30-bus system show that the profits of a wind plant are increased when there is a backup power agreement from the thermal power plant or energy storage systems. It also demonstrates that the profitability of a wind power plant can be enhanced up to 132% by implementing a backup power agreement with a thermal power plant or energy storage systems. Furthermore, the wind output power increases significantly, reaching 95 MW in the integration models compared to the original model of 55 MW, thereby generating substantial social welfare.
doi_str_mv 10.1007/s13369-023-08181-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3040542300</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3040542300</sourcerecordid><originalsourceid>FETCH-LOGICAL-c270t-8f5d5b13fab56ee43055cf420c883e951226cf431b7e7e42d9443a32f83f2d913</originalsourceid><addsrcrecordid>eNp9kEtLQzEQhS-iYKn9A64Crq8mmdzX0pb6gBYLKroL9zGpsW1um6TU-utNewV3rmYGzjlz-KLoktFrRml24xhAWsSUQ0xzlrOYnUQ9zgoWC56z0-MOcZJm7-fRwDldUZFDkTAGvWgzs63SnkzLL73S36XXrSGtIm_aNGTW7tCS2bI03hFtiP9AMl5i7a2utd8Hk12gJ8PSYUOCb6LNQps5mbYNLh0Zot8hGjI2aOd78txubY3uIjpT5dLh4Hf2o9e78cvoIZ483T-ObidxzTPq41wlTVIxUGWVpIgCaJLUSnBa5zlgaM95Gm5gVYYZCt4UQkAJXOWgwsGgH111uWvbbrbovPwMBUx4KYEKmggOlAYV71S1bZ2zqOTa6lVp95JReaArO7oy0JVHuvIQDZ3JBbGZo_2L_sf1A6ITfO0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3040542300</pqid></control><display><type>article</type><title>Profit Maximization of Wind Power Plants in the Electricity Market Based on Linking Models Between Energy Sources</title><source>SpringerLink Journals - AutoHoldings</source><creator>Truong, Viet Anh ; Dinh, Ngoc Sang ; Duong, Thanh Long</creator><creatorcontrib>Truong, Viet Anh ; Dinh, Ngoc Sang ; Duong, Thanh Long</creatorcontrib><description>A major barrier to wind sources when participating in an electricity market is inaccurate forecasting of wind power. The wind power uncertainty affects the plant’s scheduled generation power, bidding price, and profitability. The profits of wind farms may be increased by determining the suitability of power output and bidding strategy in the electricity market, which is one of the challenges for wind plant producers because it is difficult to predict wind power accurately. To solve this problem, wind farm owners need to have plans to reserve power or link with other wind plants to be able to fully meet the contracted power. This paper proposed models linking wind farms or wind farms and other energy sources such as thermal power and energy storage systems. The simulation results on the IEEE 30-bus system show that the profits of a wind plant are increased when there is a backup power agreement from the thermal power plant or energy storage systems. It also demonstrates that the profitability of a wind power plant can be enhanced up to 132% by implementing a backup power agreement with a thermal power plant or energy storage systems. Furthermore, the wind output power increases significantly, reaching 95 MW in the integration models compared to the original model of 55 MW, thereby generating substantial social welfare.</description><identifier>ISSN: 2193-567X</identifier><identifier>ISSN: 1319-8025</identifier><identifier>EISSN: 2191-4281</identifier><identifier>DOI: 10.1007/s13369-023-08181-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Electricity ; Energy resources ; Energy sources ; Energy storage ; Engineering ; Humanities and Social Sciences ; multidisciplinary ; Power plants ; Profitability ; Profits ; Research Article-Electrical Engineering ; Science ; Storage systems ; Thermal power plants ; Thermoelectricity ; Wind farms ; Wind power</subject><ispartof>Arabian journal for science and engineering (2011), 2024-05, Vol.49 (5), p.6275-6291</ispartof><rights>King Fahd University of Petroleum &amp; Minerals 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-8f5d5b13fab56ee43055cf420c883e951226cf431b7e7e42d9443a32f83f2d913</cites><orcidid>0000-0003-3048-5996</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13369-023-08181-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13369-023-08181-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27915,27916,41479,42548,51310</link.rule.ids></links><search><creatorcontrib>Truong, Viet Anh</creatorcontrib><creatorcontrib>Dinh, Ngoc Sang</creatorcontrib><creatorcontrib>Duong, Thanh Long</creatorcontrib><title>Profit Maximization of Wind Power Plants in the Electricity Market Based on Linking Models Between Energy Sources</title><title>Arabian journal for science and engineering (2011)</title><addtitle>Arab J Sci Eng</addtitle><description>A major barrier to wind sources when participating in an electricity market is inaccurate forecasting of wind power. The wind power uncertainty affects the plant’s scheduled generation power, bidding price, and profitability. The profits of wind farms may be increased by determining the suitability of power output and bidding strategy in the electricity market, which is one of the challenges for wind plant producers because it is difficult to predict wind power accurately. To solve this problem, wind farm owners need to have plans to reserve power or link with other wind plants to be able to fully meet the contracted power. This paper proposed models linking wind farms or wind farms and other energy sources such as thermal power and energy storage systems. The simulation results on the IEEE 30-bus system show that the profits of a wind plant are increased when there is a backup power agreement from the thermal power plant or energy storage systems. It also demonstrates that the profitability of a wind power plant can be enhanced up to 132% by implementing a backup power agreement with a thermal power plant or energy storage systems. Furthermore, the wind output power increases significantly, reaching 95 MW in the integration models compared to the original model of 55 MW, thereby generating substantial social welfare.</description><subject>Electricity</subject><subject>Energy resources</subject><subject>Energy sources</subject><subject>Energy storage</subject><subject>Engineering</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Power plants</subject><subject>Profitability</subject><subject>Profits</subject><subject>Research Article-Electrical Engineering</subject><subject>Science</subject><subject>Storage systems</subject><subject>Thermal power plants</subject><subject>Thermoelectricity</subject><subject>Wind farms</subject><subject>Wind power</subject><issn>2193-567X</issn><issn>1319-8025</issn><issn>2191-4281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLQzEQhS-iYKn9A64Crq8mmdzX0pb6gBYLKroL9zGpsW1um6TU-utNewV3rmYGzjlz-KLoktFrRml24xhAWsSUQ0xzlrOYnUQ9zgoWC56z0-MOcZJm7-fRwDldUZFDkTAGvWgzs63SnkzLL73S36XXrSGtIm_aNGTW7tCS2bI03hFtiP9AMl5i7a2utd8Hk12gJ8PSYUOCb6LNQps5mbYNLh0Zot8hGjI2aOd78txubY3uIjpT5dLh4Hf2o9e78cvoIZ483T-ObidxzTPq41wlTVIxUGWVpIgCaJLUSnBa5zlgaM95Gm5gVYYZCt4UQkAJXOWgwsGgH111uWvbbrbovPwMBUx4KYEKmggOlAYV71S1bZ2zqOTa6lVp95JReaArO7oy0JVHuvIQDZ3JBbGZo_2L_sf1A6ITfO0</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Truong, Viet Anh</creator><creator>Dinh, Ngoc Sang</creator><creator>Duong, Thanh Long</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-3048-5996</orcidid></search><sort><creationdate>20240501</creationdate><title>Profit Maximization of Wind Power Plants in the Electricity Market Based on Linking Models Between Energy Sources</title><author>Truong, Viet Anh ; Dinh, Ngoc Sang ; Duong, Thanh Long</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-8f5d5b13fab56ee43055cf420c883e951226cf431b7e7e42d9443a32f83f2d913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Electricity</topic><topic>Energy resources</topic><topic>Energy sources</topic><topic>Energy storage</topic><topic>Engineering</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Power plants</topic><topic>Profitability</topic><topic>Profits</topic><topic>Research Article-Electrical Engineering</topic><topic>Science</topic><topic>Storage systems</topic><topic>Thermal power plants</topic><topic>Thermoelectricity</topic><topic>Wind farms</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Truong, Viet Anh</creatorcontrib><creatorcontrib>Dinh, Ngoc Sang</creatorcontrib><creatorcontrib>Duong, Thanh Long</creatorcontrib><collection>CrossRef</collection><jtitle>Arabian journal for science and engineering (2011)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Truong, Viet Anh</au><au>Dinh, Ngoc Sang</au><au>Duong, Thanh Long</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Profit Maximization of Wind Power Plants in the Electricity Market Based on Linking Models Between Energy Sources</atitle><jtitle>Arabian journal for science and engineering (2011)</jtitle><stitle>Arab J Sci Eng</stitle><date>2024-05-01</date><risdate>2024</risdate><volume>49</volume><issue>5</issue><spage>6275</spage><epage>6291</epage><pages>6275-6291</pages><issn>2193-567X</issn><issn>1319-8025</issn><eissn>2191-4281</eissn><abstract>A major barrier to wind sources when participating in an electricity market is inaccurate forecasting of wind power. The wind power uncertainty affects the plant’s scheduled generation power, bidding price, and profitability. The profits of wind farms may be increased by determining the suitability of power output and bidding strategy in the electricity market, which is one of the challenges for wind plant producers because it is difficult to predict wind power accurately. To solve this problem, wind farm owners need to have plans to reserve power or link with other wind plants to be able to fully meet the contracted power. This paper proposed models linking wind farms or wind farms and other energy sources such as thermal power and energy storage systems. The simulation results on the IEEE 30-bus system show that the profits of a wind plant are increased when there is a backup power agreement from the thermal power plant or energy storage systems. It also demonstrates that the profitability of a wind power plant can be enhanced up to 132% by implementing a backup power agreement with a thermal power plant or energy storage systems. Furthermore, the wind output power increases significantly, reaching 95 MW in the integration models compared to the original model of 55 MW, thereby generating substantial social welfare.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s13369-023-08181-1</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-3048-5996</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2193-567X
ispartof Arabian journal for science and engineering (2011), 2024-05, Vol.49 (5), p.6275-6291
issn 2193-567X
1319-8025
2191-4281
language eng
recordid cdi_proquest_journals_3040542300
source SpringerLink Journals - AutoHoldings
subjects Electricity
Energy resources
Energy sources
Energy storage
Engineering
Humanities and Social Sciences
multidisciplinary
Power plants
Profitability
Profits
Research Article-Electrical Engineering
Science
Storage systems
Thermal power plants
Thermoelectricity
Wind farms
Wind power
title Profit Maximization of Wind Power Plants in the Electricity Market Based on Linking Models Between Energy Sources
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T21%3A48%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Profit%20Maximization%20of%20Wind%20Power%20Plants%20in%20the%20Electricity%20Market%20Based%20on%20Linking%20Models%20Between%20Energy%20Sources&rft.jtitle=Arabian%20journal%20for%20science%20and%20engineering%20(2011)&rft.au=Truong,%20Viet%20Anh&rft.date=2024-05-01&rft.volume=49&rft.issue=5&rft.spage=6275&rft.epage=6291&rft.pages=6275-6291&rft.issn=2193-567X&rft.eissn=2191-4281&rft_id=info:doi/10.1007/s13369-023-08181-1&rft_dat=%3Cproquest_cross%3E3040542300%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3040542300&rft_id=info:pmid/&rfr_iscdi=true