Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer
This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a rec...
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| Veröffentlicht in: | IEEE access 2021, Vol.9, p.150715-150732 |
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| creator | Ali, Moetasem Kotb, Hossam Aboras, Kareem M. Abbasy, Nabil H. |
| description | This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a recent metaheuristic optimization algorithm. The case study is a two-area microgrid system that contains diesel generators, various renewable energy sources such as photovoltaic and wind generation systems, as well as different energy storage devices. Moreover, real wind speed and solar irradiance measurements have been collected for proper system modeling. The performance of the proposed cascaded PI-FOPID controller is compared to the single structure fractional order PID (FOPID) controller based on GTO and numerous other optimization techniques presented in the previous literature such as Genetic Algorithm and Particle Swarm Optimization. The robustness of the proposed cascaded PI-FOPID controller is investigated under different scenarios such as different step load perturbations, random load disturbances, and renewable energy sources variation. The simulation results are carried out using MATLAB/Simulink. The results show that the proposed controller provides an improvement in the maximum overshoot/undershoot and settling time of 99.8% and 75.9%, respectively, compared to other competing techniques. |
| doi_str_mv | 10.1109/ACCESS.2021.3125317 |
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The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a recent metaheuristic optimization algorithm. The case study is a two-area microgrid system that contains diesel generators, various renewable energy sources such as photovoltaic and wind generation systems, as well as different energy storage devices. Moreover, real wind speed and solar irradiance measurements have been collected for proper system modeling. The performance of the proposed cascaded PI-FOPID controller is compared to the single structure fractional order PID (FOPID) controller based on GTO and numerous other optimization techniques presented in the previous literature such as Genetic Algorithm and Particle Swarm Optimization. The robustness of the proposed cascaded PI-FOPID controller is investigated under different scenarios such as different step load perturbations, random load disturbances, and renewable energy sources variation. The simulation results are carried out using MATLAB/Simulink. The results show that the proposed controller provides an improvement in the maximum overshoot/undershoot and settling time of 99.8% and 75.9%, respectively, compared to other competing techniques.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2021.3125317</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Alternative energy sources ; Cascaded PI- fractional order proportional-integral-derivative controller ; Controllers ; Diesel generators ; Distributed generation ; Electrical loads ; Energy resources ; Energy storage ; Frequency control ; Frequency response ; Generators ; Genetic algorithms ; gorilla troops optimizer ; Heuristic methods ; hybrid microgrid system ; Hybrid systems ; Irradiance ; load frequency control ; Load modeling ; Mathematical models ; Microgrids ; Optimization techniques ; Particle swarm optimization ; Perturbation ; Proportional integral derivative ; Random loads ; Renewable energy sources ; Renewable resources ; renewable sources ; two-area system ; Wind speed ; Wind turbines</subject><ispartof>IEEE access, 2021, Vol.9, p.150715-150732</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-1de0711d956b2271e56a4ff4638c35d57102bd73556c91694fbb1df4ce02db9b3</citedby><cites>FETCH-LOGICAL-c474t-1de0711d956b2271e56a4ff4638c35d57102bd73556c91694fbb1df4ce02db9b3</cites><orcidid>0000-0002-4052-6731 ; 0000-0002-2852-0812 ; 0000-0003-3859-2761 ; 0000-0003-0485-468X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9600853$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2101,4023,27632,27922,27923,27924,54932</link.rule.ids></links><search><creatorcontrib>Ali, Moetasem</creatorcontrib><creatorcontrib>Kotb, Hossam</creatorcontrib><creatorcontrib>Aboras, Kareem M.</creatorcontrib><creatorcontrib>Abbasy, Nabil H.</creatorcontrib><title>Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a recent metaheuristic optimization algorithm. The case study is a two-area microgrid system that contains diesel generators, various renewable energy sources such as photovoltaic and wind generation systems, as well as different energy storage devices. Moreover, real wind speed and solar irradiance measurements have been collected for proper system modeling. The performance of the proposed cascaded PI-FOPID controller is compared to the single structure fractional order PID (FOPID) controller based on GTO and numerous other optimization techniques presented in the previous literature such as Genetic Algorithm and Particle Swarm Optimization. The robustness of the proposed cascaded PI-FOPID controller is investigated under different scenarios such as different step load perturbations, random load disturbances, and renewable energy sources variation. The simulation results are carried out using MATLAB/Simulink. The results show that the proposed controller provides an improvement in the maximum overshoot/undershoot and settling time of 99.8% and 75.9%, respectively, compared to other competing techniques.</description><subject>Alternative energy sources</subject><subject>Cascaded PI- fractional order proportional-integral-derivative controller</subject><subject>Controllers</subject><subject>Diesel generators</subject><subject>Distributed generation</subject><subject>Electrical loads</subject><subject>Energy resources</subject><subject>Energy storage</subject><subject>Frequency control</subject><subject>Frequency response</subject><subject>Generators</subject><subject>Genetic algorithms</subject><subject>gorilla troops optimizer</subject><subject>Heuristic methods</subject><subject>hybrid microgrid system</subject><subject>Hybrid systems</subject><subject>Irradiance</subject><subject>load frequency control</subject><subject>Load modeling</subject><subject>Mathematical models</subject><subject>Microgrids</subject><subject>Optimization techniques</subject><subject>Particle swarm optimization</subject><subject>Perturbation</subject><subject>Proportional integral derivative</subject><subject>Random loads</subject><subject>Renewable energy sources</subject><subject>Renewable resources</subject><subject>renewable sources</subject><subject>two-area system</subject><subject>Wind speed</subject><subject>Wind turbines</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUV1r3DAQNKWFhjS_IC-CPPuqb9uPwcklBylXesmzkKXVRYfPciWncP0d_cGR4xC6L7sadmbRTFFcErwiBDffr9v2drdbUUzJihEqGKk-FWeUyKZkgsnP_81fi4uUDjhXnSFRnRX_biD5_YCCQ61ORluw6OemXEdtJh8G3aNttBAzdoPaMEwx9H1-uhDR5jjG8McPezQ9A1pH-P0CgzmhX5DGMCSYNe9PXfQW_fAmhv087U5pgiN6SjPvLkTf9xo9xhDGhLbj5I_-L8RvxRen-wQX7_28eFrfPrb35cP2btNeP5SGV3wqiQVcEWIbITtKKwJCau4cl6w2TFhREUw7WzEhpGnyf7nrOmIdN4Cp7ZqOnRebRdcGfVBj9EcdTypor96AEPdKx8mbHlQnXF1r3jAsOk6xrbWUxhCihQNaWZy1rhatbEo2Ik3qEF5iNjApKhpZ1bRhPG-xZSv7kVIE93GVYDWnqZY01Zymek8zsy4XlgeAD0Yjc4yCsVdiFpwW</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Ali, Moetasem</creator><creator>Kotb, Hossam</creator><creator>Aboras, Kareem M.</creator><creator>Abbasy, Nabil H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4052-6731</orcidid><orcidid>https://orcid.org/0000-0002-2852-0812</orcidid><orcidid>https://orcid.org/0000-0003-3859-2761</orcidid><orcidid>https://orcid.org/0000-0003-0485-468X</orcidid></search><sort><creationdate>2021</creationdate><title>Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer</title><author>Ali, Moetasem ; Kotb, Hossam ; Aboras, Kareem M. ; Abbasy, Nabil H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-1de0711d956b2271e56a4ff4638c35d57102bd73556c91694fbb1df4ce02db9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alternative energy sources</topic><topic>Cascaded PI- fractional order proportional-integral-derivative controller</topic><topic>Controllers</topic><topic>Diesel generators</topic><topic>Distributed generation</topic><topic>Electrical loads</topic><topic>Energy resources</topic><topic>Energy storage</topic><topic>Frequency control</topic><topic>Frequency response</topic><topic>Generators</topic><topic>Genetic algorithms</topic><topic>gorilla troops optimizer</topic><topic>Heuristic methods</topic><topic>hybrid microgrid system</topic><topic>Hybrid systems</topic><topic>Irradiance</topic><topic>load frequency control</topic><topic>Load modeling</topic><topic>Mathematical models</topic><topic>Microgrids</topic><topic>Optimization techniques</topic><topic>Particle swarm optimization</topic><topic>Perturbation</topic><topic>Proportional integral derivative</topic><topic>Random loads</topic><topic>Renewable energy sources</topic><topic>Renewable resources</topic><topic>renewable sources</topic><topic>two-area system</topic><topic>Wind speed</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ali, Moetasem</creatorcontrib><creatorcontrib>Kotb, Hossam</creatorcontrib><creatorcontrib>Aboras, Kareem M.</creatorcontrib><creatorcontrib>Abbasy, Nabil H.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</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>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ali, Moetasem</au><au>Kotb, Hossam</au><au>Aboras, Kareem M.</au><au>Abbasy, Nabil H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2021</date><risdate>2021</risdate><volume>9</volume><spage>150715</spage><epage>150732</epage><pages>150715-150732</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid system. The optimum gains of the proposed controller are fine-tuned using Gorilla Troops Optimizer (GTO) which is a recent metaheuristic optimization algorithm. The case study is a two-area microgrid system that contains diesel generators, various renewable energy sources such as photovoltaic and wind generation systems, as well as different energy storage devices. Moreover, real wind speed and solar irradiance measurements have been collected for proper system modeling. The performance of the proposed cascaded PI-FOPID controller is compared to the single structure fractional order PID (FOPID) controller based on GTO and numerous other optimization techniques presented in the previous literature such as Genetic Algorithm and Particle Swarm Optimization. The robustness of the proposed cascaded PI-FOPID controller is investigated under different scenarios such as different step load perturbations, random load disturbances, and renewable energy sources variation. The simulation results are carried out using MATLAB/Simulink. The results show that the proposed controller provides an improvement in the maximum overshoot/undershoot and settling time of 99.8% and 75.9%, respectively, compared to other competing techniques.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2021.3125317</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-4052-6731</orcidid><orcidid>https://orcid.org/0000-0002-2852-0812</orcidid><orcidid>https://orcid.org/0000-0003-3859-2761</orcidid><orcidid>https://orcid.org/0000-0003-0485-468X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Alternative energy sources Cascaded PI- fractional order proportional-integral-derivative controller Controllers Diesel generators Distributed generation Electrical loads Energy resources Energy storage Frequency control Frequency response Generators Genetic algorithms gorilla troops optimizer Heuristic methods hybrid microgrid system Hybrid systems Irradiance load frequency control Load modeling Mathematical models Microgrids Optimization techniques Particle swarm optimization Perturbation Proportional integral derivative Random loads Renewable energy sources Renewable resources renewable sources two-area system Wind speed Wind turbines |
| title | Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer |
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