Coordination of PID based power system stabilizer and AVR using combination bacterial foraging techique - Particle swarm optimization
The damping of oscillation in power system commonly use known controller such as power system stabilizer (PSS). Proportional integral derivative (PID) controller tuning based on power system stabilizer and AVR is presented in this paper. The parameters of PID controller such as proportional gain, in...
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| creator | Manuaba, I.B.G. Abdillah, M. Soeprijanto, A. P., Mauridhi Hery |
| description | The damping of oscillation in power system commonly use known controller such as power system stabilizer (PSS). Proportional integral derivative (PID) controller tuning based on power system stabilizer and AVR is presented in this paper. The parameters of PID controller such as proportional gain, integral factor, differential coefficient and gain AVR are selected and optimized by BF-PSOTVAC. The proposed method is applied to PID controller tuning and is compared to another method. The integral time absolute error standards of optimization design as objective function. The results of simulations show that the proposed method has the capability to damn optimally and suppresses error to minimum. |
| doi_str_mv | 10.1109/ICMSAO.2011.5775527 |
| format | Conference Proceeding |
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Proportional integral derivative (PID) controller tuning based on power system stabilizer and AVR is presented in this paper. The parameters of PID controller such as proportional gain, integral factor, differential coefficient and gain AVR are selected and optimized by BF-PSOTVAC. The proposed method is applied to PID controller tuning and is compared to another method. The integral time absolute error standards of optimization design as objective function. 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The results of simulations show that the proposed method has the capability to damn optimally and suppresses error to minimum.</description><subject>AVR</subject><subject>Bacterial foraging</subject><subject>Cost function</subject><subject>Microorganisms</subject><subject>Particle swarm optimization</subject><subject>PID controller</subject><subject>Power system dynamics</subject><subject>Power system stability</subject><subject>PSS</subject><subject>time varying acceleration coefficient</subject><isbn>1457700034</isbn><isbn>9781457700033</isbn><isbn>9781457700040</isbn><isbn>1457700042</isbn><isbn>1457700050</isbn><isbn>9781457700057</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UM1OAjEYrDEmKvIEXPoCi22329IjWX8gwUCUeCVft12s2d1iW0Lg7nuLCqf5y8xhEBpQMqSUqPtp-fI2ng8ZoXRYSFkUTF6gvpIjyo-SEMLJJbo9i5xfo36Mn0dKhFBK0hv0XXofjOsgOd9hX-PF9AFriNbgjd_ZgOM-JtvimEC7xh2ODnQGj99f8Ta6bo0r3-pzXUOVbHDQ4NoHWP_GyVYf7mtrcYYXEJKrGovjDkKL_Sa51h3-mnfoqoYm2v4Je2j59LgsJ9ls_jwtx7PMKZIy4JpSqwpWMSagZhx0UdOKSWa4NfVIUs00E4obYkdKAEgOwhgpqIHc5EXeQ4P_WWetXW2CayHsV6fj8h9fB2TY</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Manuaba, I.B.G.</creator><creator>Abdillah, M.</creator><creator>Soeprijanto, A.</creator><creator>P., Mauridhi Hery</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201104</creationdate><title>Coordination of PID based power system stabilizer and AVR using combination bacterial foraging techique - Particle swarm optimization</title><author>Manuaba, I.B.G. ; Abdillah, M. ; Soeprijanto, A. ; P., Mauridhi Hery</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-a4b11e952c226af24ab5f1c272d4edf871b2b2694d0e896aa74a6dd761da3d353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>AVR</topic><topic>Bacterial foraging</topic><topic>Cost function</topic><topic>Microorganisms</topic><topic>Particle swarm optimization</topic><topic>PID controller</topic><topic>Power system dynamics</topic><topic>Power system stability</topic><topic>PSS</topic><topic>time varying acceleration coefficient</topic><toplevel>online_resources</toplevel><creatorcontrib>Manuaba, I.B.G.</creatorcontrib><creatorcontrib>Abdillah, M.</creatorcontrib><creatorcontrib>Soeprijanto, A.</creatorcontrib><creatorcontrib>P., Mauridhi Hery</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>Manuaba, I.B.G.</au><au>Abdillah, M.</au><au>Soeprijanto, A.</au><au>P., Mauridhi Hery</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Coordination of PID based power system stabilizer and AVR using combination bacterial foraging techique - Particle swarm optimization</atitle><btitle>2011 Fourth International Conference on Modeling, Simulation and Applied Optimization</btitle><stitle>ICMSAO</stitle><date>2011-04</date><risdate>2011</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><isbn>1457700034</isbn><isbn>9781457700033</isbn><eisbn>9781457700040</eisbn><eisbn>1457700042</eisbn><eisbn>1457700050</eisbn><eisbn>9781457700057</eisbn><abstract>The damping of oscillation in power system commonly use known controller such as power system stabilizer (PSS). Proportional integral derivative (PID) controller tuning based on power system stabilizer and AVR is presented in this paper. The parameters of PID controller such as proportional gain, integral factor, differential coefficient and gain AVR are selected and optimized by BF-PSOTVAC. The proposed method is applied to PID controller tuning and is compared to another method. The integral time absolute error standards of optimization design as objective function. The results of simulations show that the proposed method has the capability to damn optimally and suppresses error to minimum.</abstract><pub>IEEE</pub><doi>10.1109/ICMSAO.2011.5775527</doi><tpages>7</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | AVR Bacterial foraging Cost function Microorganisms Particle swarm optimization PID controller Power system dynamics Power system stability PSS time varying acceleration coefficient |
| title | Coordination of PID based power system stabilizer and AVR using combination bacterial foraging techique - Particle swarm optimization |
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