Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid
This paper proposes coordinated control of blade pitch angle of wind turbine generators and plug-in hybrid electric vehicles (PHEVs) for load frequency control of microgrid using model predictive controls (MPCs). The MPC is an effective model-based predictive control, which calculates future control...
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| Veröffentlicht in: | IEEE systems journal 2016-03, Vol.10 (1), p.97-105 |
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| creator | Pahasa, Jonglak Ngamroo, Issarachai |
| description | This paper proposes coordinated control of blade pitch angle of wind turbine generators and plug-in hybrid electric vehicles (PHEVs) for load frequency control of microgrid using model predictive controls (MPCs). The MPC is an effective model-based predictive control, which calculates future control signals by optimization method using plant model, current, and past signals of the system. The MPC-based PHEVs' power control can be used to reduce frequency fluctuation of microgrid effectively. However, for large system, large number of PHEVs is needed to produce satisfying frequency deviation. In order to reduce the number of PHEVs, the smoothing of wind power production by pitch angle control using MPC method is proposed and is coordinated with PHEVs control in this paper. The simulation results confirm that the coordinated control of pitch angle and PHEVs using MPCs is able to reduce the number of PHEVs and the frequency fluctuation can be maintained significantly. In addition, the proposed method is robust to the system parameters variation over proportional-integral derivative controllers. |
| doi_str_mv | 10.1109/JSYST.2014.2313810 |
| format | Article |
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The MPC is an effective model-based predictive control, which calculates future control signals by optimization method using plant model, current, and past signals of the system. The MPC-based PHEVs' power control can be used to reduce frequency fluctuation of microgrid effectively. However, for large system, large number of PHEVs is needed to produce satisfying frequency deviation. In order to reduce the number of PHEVs, the smoothing of wind power production by pitch angle control using MPC method is proposed and is coordinated with PHEVs control in this paper. The simulation results confirm that the coordinated control of pitch angle and PHEVs using MPCs is able to reduce the number of PHEVs and the frequency fluctuation can be maintained significantly. In addition, the proposed method is robust to the system parameters variation over proportional-integral derivative controllers.</description><identifier>ISSN: 1932-8184</identifier><identifier>EISSN: 1937-9234</identifier><identifier>DOI: 10.1109/JSYST.2014.2313810</identifier><identifier>CODEN: ISJEB2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Blade pitch angle ; Blades ; Distributed generation ; Electricity generation ; Fluctuation ; Frequency control ; Mathematical models ; microgrid ; Microgrids ; model predictive control (MPC) ; Pitch angle ; plug-in hybrid electric vehicle (PHEV) ; Power control ; Power smoothing ; Predictive control ; Wind power generation ; Wind speed ; wind turbine generator (WTG) ; Wind turbines</subject><ispartof>IEEE systems journal, 2016-03, Vol.10 (1), p.97-105</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-4150eee60baef6a367dadf5465a5236879c4511642af29057acd3328d2cb724e3</citedby><cites>FETCH-LOGICAL-c394t-4150eee60baef6a367dadf5465a5236879c4511642af29057acd3328d2cb724e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6803878$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6803878$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Pahasa, Jonglak</creatorcontrib><creatorcontrib>Ngamroo, Issarachai</creatorcontrib><title>Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid</title><title>IEEE systems journal</title><addtitle>JSYST</addtitle><description>This paper proposes coordinated control of blade pitch angle of wind turbine generators and plug-in hybrid electric vehicles (PHEVs) for load frequency control of microgrid using model predictive controls (MPCs). The MPC is an effective model-based predictive control, which calculates future control signals by optimization method using plant model, current, and past signals of the system. The MPC-based PHEVs' power control can be used to reduce frequency fluctuation of microgrid effectively. However, for large system, large number of PHEVs is needed to produce satisfying frequency deviation. In order to reduce the number of PHEVs, the smoothing of wind power production by pitch angle control using MPC method is proposed and is coordinated with PHEVs control in this paper. The simulation results confirm that the coordinated control of pitch angle and PHEVs using MPCs is able to reduce the number of PHEVs and the frequency fluctuation can be maintained significantly. In addition, the proposed method is robust to the system parameters variation over proportional-integral derivative controllers.</description><subject>Blade pitch angle</subject><subject>Blades</subject><subject>Distributed generation</subject><subject>Electricity generation</subject><subject>Fluctuation</subject><subject>Frequency control</subject><subject>Mathematical models</subject><subject>microgrid</subject><subject>Microgrids</subject><subject>model predictive control (MPC)</subject><subject>Pitch angle</subject><subject>plug-in hybrid electric vehicle (PHEV)</subject><subject>Power control</subject><subject>Power smoothing</subject><subject>Predictive control</subject><subject>Wind power generation</subject><subject>Wind speed</subject><subject>wind turbine generator (WTG)</subject><subject>Wind turbines</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkUtLAzEUhQdRUKt_QDcBN26m5uYxySzr0PqgYsGquArpJFMj00ST6cJ_79SKiKt74Z5zuIcvy04ADwFweXH78PIwHxIMbEgoUAl4JzuAkoq8JJTtfu8klyDZfnaY0hvGXHJRHmSxCiEa53VnDaqC72JoUWjQs_MGzddx4bxFl602Fs1cV7-ikV-2Fun-OrsePyX0mJxfortZlVATIpoGbdAk2o-19fXn38Q7V8ewjM4cZXuNbpM9_pmD7HEynlfX-fT-6qYaTfOalqzLGXBsrS3wQtum0LQQRpuGs4JrTmghRVkzDlAwohtSYi50bSgl0pB6IQizdJCdb3PfY-jfSZ1auVTbttXehnVSIKHAQEQJvfTsn_QtrKPvv1MgpCBcSrxRka2qL5JStI16j26l46cCrDYY1DcGtcGgfjD0ptOtyfVlfg2FxFQKSb8A3C2Cfg</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>Pahasa, Jonglak</creator><creator>Ngamroo, Issarachai</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>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201603</creationdate><title>Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid</title><author>Pahasa, Jonglak ; Ngamroo, Issarachai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-4150eee60baef6a367dadf5465a5236879c4511642af29057acd3328d2cb724e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Blade pitch angle</topic><topic>Blades</topic><topic>Distributed generation</topic><topic>Electricity generation</topic><topic>Fluctuation</topic><topic>Frequency control</topic><topic>Mathematical models</topic><topic>microgrid</topic><topic>Microgrids</topic><topic>model predictive control (MPC)</topic><topic>Pitch angle</topic><topic>plug-in hybrid electric vehicle (PHEV)</topic><topic>Power control</topic><topic>Power smoothing</topic><topic>Predictive control</topic><topic>Wind power generation</topic><topic>Wind speed</topic><topic>wind turbine generator (WTG)</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pahasa, Jonglak</creatorcontrib><creatorcontrib>Ngamroo, Issarachai</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><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE systems journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pahasa, Jonglak</au><au>Ngamroo, Issarachai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid</atitle><jtitle>IEEE systems journal</jtitle><stitle>JSYST</stitle><date>2016-03</date><risdate>2016</risdate><volume>10</volume><issue>1</issue><spage>97</spage><epage>105</epage><pages>97-105</pages><issn>1932-8184</issn><eissn>1937-9234</eissn><coden>ISJEB2</coden><abstract>This paper proposes coordinated control of blade pitch angle of wind turbine generators and plug-in hybrid electric vehicles (PHEVs) for load frequency control of microgrid using model predictive controls (MPCs). The MPC is an effective model-based predictive control, which calculates future control signals by optimization method using plant model, current, and past signals of the system. The MPC-based PHEVs' power control can be used to reduce frequency fluctuation of microgrid effectively. However, for large system, large number of PHEVs is needed to produce satisfying frequency deviation. In order to reduce the number of PHEVs, the smoothing of wind power production by pitch angle control using MPC method is proposed and is coordinated with PHEVs control in this paper. The simulation results confirm that the coordinated control of pitch angle and PHEVs using MPCs is able to reduce the number of PHEVs and the frequency fluctuation can be maintained significantly. In addition, the proposed method is robust to the system parameters variation over proportional-integral derivative controllers.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSYST.2014.2313810</doi><tpages>9</tpages></addata></record> |
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| identifier | ISSN: 1932-8184 |
| ispartof | IEEE systems journal, 2016-03, Vol.10 (1), p.97-105 |
| issn | 1932-8184 1937-9234 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Blade pitch angle Blades Distributed generation Electricity generation Fluctuation Frequency control Mathematical models microgrid Microgrids model predictive control (MPC) Pitch angle plug-in hybrid electric vehicle (PHEV) Power control Power smoothing Predictive control Wind power generation Wind speed wind turbine generator (WTG) Wind turbines |
| title | Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid |
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