Improvement of load frequency control with fuzzy gain scheduled superconducting magnetic energy storage unit
With the increase in size and capacity of electric power systems and the growth of widespread interconnections, the problem of power oscillations due to the reduced system damping has become increasingly serious. Since a superconducting magnetic energy storage (SMES) unit with a self-commutated conv...
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| creator | Sheikh, M.R.I. Muyeen, S.M. Takahashi, R. Murata, T. Tamura, J. |
| description | With the increase in size and capacity of electric power systems and the growth of widespread interconnections, the problem of power oscillations due to the reduced system damping has become increasingly serious. Since a superconducting magnetic energy storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This paper proposes a SMES with the fuzzy gain scheduled supplementary controller associated with the automatic generation control (AGC) for the improvement of load frequency control (LFC). It is shown that SMES with the gain scheduled supplementary controller can perform a more effective primary frequency control for multi area power system. Simulation studies based on MATLAB are presented on a two-area power system after carrying out the necessary modeling exercise. |
| doi_str_mv | 10.1109/ICELMACH.2008.4799958 |
| format | Conference Proceeding |
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Since a superconducting magnetic energy storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This paper proposes a SMES with the fuzzy gain scheduled supplementary controller associated with the automatic generation control (AGC) for the improvement of load frequency control (LFC). It is shown that SMES with the gain scheduled supplementary controller can perform a more effective primary frequency control for multi area power system. 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Simulation studies based on MATLAB are presented on a two-area power system after carrying out the necessary modeling exercise.</description><subject>Automatic control</subject><subject>automatic generation control</subject><subject>Control systems</subject><subject>Frequency control</subject><subject>Fuzzy control</subject><subject>gain scheduled controller</subject><subject>Load frequency control</subject><subject>multi area power system</subject><subject>Power system control</subject><subject>Power system interconnection</subject><subject>Power system modeling</subject><subject>Power system simulation</subject><subject>Samarium</subject><subject>Superconducting magnetic energy storage</subject><subject>superconducting magnetic energy storage unit</subject><isbn>9781424417353</isbn><isbn>142441735X</isbn><isbn>9781424417360</isbn><isbn>1424417368</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1Kw0AcxFekoNY-gQj7Aq37mWSPJVQbqHjpvWx3_5uuJJu62Sjp0xuwF-cyDPxmDoPQMyUrSol6qcrN7n1dbleMkGIlcqWULG7QQuUFFUwImvOM3P7Lks_Qw4TnimSK8ju06PtPMklIzhW7R03VnmP3DS2EhDuHm05b7CJ8DRDMiE0XUuwa_OPTCbvhchlxrX3AvTmBHRqwuB_OECfMDib5UONW1wGSNxgCxHrEfeqirgEPwadHNHO66WFx9Tnav2725Xa5-3iryvVu6RVJS6aZ00aQXFMAKaQBwYjk9Eityagy-pgb5qw4WkWVkIIXmcstUOu0VFOBz9HT36wHgMM5-lbH8XD9i_8CFR9gaA</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Sheikh, M.R.I.</creator><creator>Muyeen, S.M.</creator><creator>Takahashi, R.</creator><creator>Murata, T.</creator><creator>Tamura, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>Improvement of load frequency control with fuzzy gain scheduled superconducting magnetic energy storage unit</title><author>Sheikh, M.R.I. ; Muyeen, S.M. ; Takahashi, R. ; Murata, T. ; Tamura, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-2a2fac407a1ee545ce420531b1dc619cab7c2fd4bd919454386f7de1dfa59e543</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Automatic control</topic><topic>automatic generation control</topic><topic>Control systems</topic><topic>Frequency control</topic><topic>Fuzzy control</topic><topic>gain scheduled controller</topic><topic>Load frequency control</topic><topic>multi area power system</topic><topic>Power system control</topic><topic>Power system interconnection</topic><topic>Power system modeling</topic><topic>Power system simulation</topic><topic>Samarium</topic><topic>Superconducting magnetic energy storage</topic><topic>superconducting magnetic energy storage unit</topic><toplevel>online_resources</toplevel><creatorcontrib>Sheikh, M.R.I.</creatorcontrib><creatorcontrib>Muyeen, S.M.</creatorcontrib><creatorcontrib>Takahashi, R.</creatorcontrib><creatorcontrib>Murata, T.</creatorcontrib><creatorcontrib>Tamura, J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sheikh, M.R.I.</au><au>Muyeen, S.M.</au><au>Takahashi, R.</au><au>Murata, T.</au><au>Tamura, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improvement of load frequency control with fuzzy gain scheduled superconducting magnetic energy storage unit</atitle><btitle>2008 18th International Conference on Electrical Machines</btitle><stitle>ICELMACH</stitle><date>2008-09</date><risdate>2008</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781424417353</isbn><isbn>142441735X</isbn><eisbn>9781424417360</eisbn><eisbn>1424417368</eisbn><abstract>With the increase in size and capacity of electric power systems and the growth of widespread interconnections, the problem of power oscillations due to the reduced system damping has become increasingly serious. Since a superconducting magnetic energy storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This paper proposes a SMES with the fuzzy gain scheduled supplementary controller associated with the automatic generation control (AGC) for the improvement of load frequency control (LFC). It is shown that SMES with the gain scheduled supplementary controller can perform a more effective primary frequency control for multi area power system. Simulation studies based on MATLAB are presented on a two-area power system after carrying out the necessary modeling exercise.</abstract><pub>IEEE</pub><doi>10.1109/ICELMACH.2008.4799958</doi><tpages>6</tpages></addata></record> |
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| identifier | ISBN: 9781424417353 |
| ispartof | 2008 18th International Conference on Electrical Machines, 2008, p.1-6 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automatic control automatic generation control Control systems Frequency control Fuzzy control gain scheduled controller Load frequency control multi area power system Power system control Power system interconnection Power system modeling Power system simulation Samarium Superconducting magnetic energy storage superconducting magnetic energy storage unit |
| title | Improvement of load frequency control with fuzzy gain scheduled superconducting magnetic energy storage unit |
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