Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty
Summary In this paper, the impacts of uncertainties in a multi‐machine power system with high penetration of wind farms are studied. The uncertainties associated with generation units, transmission system and demands are considered as the most important sources of uncertainty. So, an innovative opti...
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| Veröffentlicht in: | International transactions on electrical energy systems 2020-04, Vol.30 (4), p.n/a |
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| container_title | International transactions on electrical energy systems |
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| creator | Rokni Nakhi, Payam Ahmadi Kamarposhti, Mehrdad |
| description | Summary
In this paper, the impacts of uncertainties in a multi‐machine power system with high penetration of wind farms are studied. The uncertainties associated with generation units, transmission system and demands are considered as the most important sources of uncertainty. So, an innovative optimized type II fuzzy power system stabilizer (PSS) is proposed to decrease uncertainties and increase the power system dynamic stability margin. Membership of the proposed stabilizer is optimized by multi objective particle swarm optimization algorithm using integral of square error until settling and figure of demerit as objective functions. The simulation results verified the performance of the proposed PSS in all operation conditions. |
| doi_str_mv | 10.1002/2050-7038.12285 |
| format | Article |
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In this paper, the impacts of uncertainties in a multi‐machine power system with high penetration of wind farms are studied. The uncertainties associated with generation units, transmission system and demands are considered as the most important sources of uncertainty. So, an innovative optimized type II fuzzy power system stabilizer (PSS) is proposed to decrease uncertainties and increase the power system dynamic stability margin. Membership of the proposed stabilizer is optimized by multi objective particle swarm optimization algorithm using integral of square error until settling and figure of demerit as objective functions. The simulation results verified the performance of the proposed PSS in all operation conditions.</description><identifier>ISSN: 2050-7038</identifier><identifier>EISSN: 2050-7038</identifier><identifier>DOI: 10.1002/2050-7038.12285</identifier><language>eng</language><publisher>Hoboken: Hindawi Limited</publisher><subject>Algorithms ; Computer simulation ; Dynamic stability ; Fuzzy systems ; MOPSO ; Particle swarm optimization ; PSS ; Turbines ; type II fuzzy ; Uncertainty ; wind farm ; Wind farms ; Wind power ; Wind power generation ; Wind turbines</subject><ispartof>International transactions on electrical energy systems, 2020-04, Vol.30 (4), p.n/a</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3575-2534f50a3d4cbc5e331d110e5f13ea1b2f4aaee326dab237decab550d5a60a013</citedby><cites>FETCH-LOGICAL-c3575-2534f50a3d4cbc5e331d110e5f13ea1b2f4aaee326dab237decab550d5a60a013</cites><orcidid>0000-0003-4581-1619</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2050-7038.12285$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2050-7038.12285$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Rokni Nakhi, Payam</creatorcontrib><creatorcontrib>Ahmadi Kamarposhti, Mehrdad</creatorcontrib><title>Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty</title><title>International transactions on electrical energy systems</title><description>Summary
In this paper, the impacts of uncertainties in a multi‐machine power system with high penetration of wind farms are studied. The uncertainties associated with generation units, transmission system and demands are considered as the most important sources of uncertainty. So, an innovative optimized type II fuzzy power system stabilizer (PSS) is proposed to decrease uncertainties and increase the power system dynamic stability margin. Membership of the proposed stabilizer is optimized by multi objective particle swarm optimization algorithm using integral of square error until settling and figure of demerit as objective functions. The simulation results verified the performance of the proposed PSS in all operation conditions.</description><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Dynamic stability</subject><subject>Fuzzy systems</subject><subject>MOPSO</subject><subject>Particle swarm optimization</subject><subject>PSS</subject><subject>Turbines</subject><subject>type II fuzzy</subject><subject>Uncertainty</subject><subject>wind farm</subject><subject>Wind farms</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind turbines</subject><issn>2050-7038</issn><issn>2050-7038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkE1Lw0AQhoMoWGrPXhc8p-5HtolHKVULFT3U87Ifs3VLmsTdjSW9-79NjYienMPMMPO-M_AkySXBU4IxvaaY4zTHrJgSSgt-kox-Jqe_-vNkEsIW93GTEZIXo-TjsS2jQ7Xago7uHZCB4DYVqi2KXQNouUS2PRw6pGQAg5p6Dx6FLkTYoRClcqU79BNb-7-7vYuvfaoMstLvUGy9chUgXVfBGfCu2qC20uCjdFXsLpIzK8sAk-86Tl7uFuv5Q7p6ul_Ob1epZjznKeUssxxLZjKtNAfGiCEEA7eEgSSK2kxKAEZnRirKcgNaKs6x4XKGJSZsnFwNdxtfv7UQotjWra_6l4KyguOc44z1qutBpX0dggcrGu920neCYHHELY5AxRGo-MLdO2aDY-9K6P6Ti8V68TwYPwHIvYSm</recordid><startdate>202004</startdate><enddate>202004</enddate><creator>Rokni Nakhi, Payam</creator><creator>Ahmadi Kamarposhti, Mehrdad</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-4581-1619</orcidid></search><sort><creationdate>202004</creationdate><title>Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty</title><author>Rokni Nakhi, Payam ; Ahmadi Kamarposhti, Mehrdad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3575-2534f50a3d4cbc5e331d110e5f13ea1b2f4aaee326dab237decab550d5a60a013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Dynamic stability</topic><topic>Fuzzy systems</topic><topic>MOPSO</topic><topic>Particle swarm optimization</topic><topic>PSS</topic><topic>Turbines</topic><topic>type II fuzzy</topic><topic>Uncertainty</topic><topic>wind farm</topic><topic>Wind farms</topic><topic>Wind power</topic><topic>Wind power generation</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rokni Nakhi, Payam</creatorcontrib><creatorcontrib>Ahmadi Kamarposhti, Mehrdad</creatorcontrib><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>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International transactions on electrical energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rokni Nakhi, Payam</au><au>Ahmadi Kamarposhti, Mehrdad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty</atitle><jtitle>International transactions on electrical energy systems</jtitle><date>2020-04</date><risdate>2020</risdate><volume>30</volume><issue>4</issue><epage>n/a</epage><issn>2050-7038</issn><eissn>2050-7038</eissn><abstract>Summary
In this paper, the impacts of uncertainties in a multi‐machine power system with high penetration of wind farms are studied. The uncertainties associated with generation units, transmission system and demands are considered as the most important sources of uncertainty. So, an innovative optimized type II fuzzy power system stabilizer (PSS) is proposed to decrease uncertainties and increase the power system dynamic stability margin. Membership of the proposed stabilizer is optimized by multi objective particle swarm optimization algorithm using integral of square error until settling and figure of demerit as objective functions. The simulation results verified the performance of the proposed PSS in all operation conditions.</abstract><cop>Hoboken</cop><pub>Hindawi Limited</pub><doi>10.1002/2050-7038.12285</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-4581-1619</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Wiley Online Library All Journals |
| subjects | Algorithms Computer simulation Dynamic stability Fuzzy systems MOPSO Particle swarm optimization PSS Turbines type II fuzzy Uncertainty wind farm Wind farms Wind power Wind power generation Wind turbines |
| title | Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty |
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