Genetic algorithm based reference current control extraction based shunt active power filter

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dc.authorid0000-0002-6253-7597en_US
dc.contributor.authorSundaram, Elango
dc.contributor.authorGunasekaran, Manavaalan
dc.contributor.authorKrishnan, Ramakrishnan
dc.contributor.authorPadmanaban, Sanjeevikumar
dc.contributor.authorChenniappan, Sharmeela
dc.contributor.authorErtaş, Ahmet Hanifi
dc.date.accessioned2021-03-20T20:09:18Z
dc.date.available2021-03-20T20:09:18Z
dc.date.issued2020
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractTraditional approaches towards proportional-integral (PI) controller tuning often fail to provide optimum gain values in situations where shunt active power filter (SAPF) is connected to systems containing complex, dynamic, and nonlinear loads. Optimum gain values are, however, crucial in the generation of compensating currents with less transient and steady-state error, that would nullify the harmonic currents in a short time. This work proposes two soft computing techniques, genetic algorithm (GA) and Queen Bee assisted GA (QBGA) for better controller tuning to obtain optimum gain values to switch SAPF. These algorithms are used in local search technique mode to arrive at the optimal solutions based on the desired characteristics. The PI controller controls the voltage of the DC capacitor to generate the required compensating current. The proposed algorithms are practical since reliable solutions are obtained with a limited number of iterations. Implementation of the suggested algorithm reduces the THD of supply current to less than 5%, in compliance with IEEE-519 standards. The system performance is evaluated through MATLAB simulation tool. Suitable hardware model is also developed and tested for validating the simulation results. The hardware results are found in close agreement with simulation results. The highlight of this work is the introduction of QBGA algorithm as a novel technique for tuning of PI controller for SAPF.en_US
dc.identifier.doi10.1002/2050-7038.12623en_US
dc.identifier.issn2050-7038
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttp://doi.org/10.1002/2050-7038.12623
dc.identifier.urihttps://hdl.handle.net/20.500.12885/360
dc.identifier.volume31en_US
dc.identifier.wosWOS:000575284400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorErtaş, Ahmet Hanifi
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Transactions On Electrical Energy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectgenetic algorithmen_US
dc.subjectpulse width modulationen_US
dc.subjectqueen beegenetic algorithmen_US
dc.subjectshunt active power filteren_US
dc.subjecttotal harmonic distortionen_US
dc.titleGenetic algorithm based reference current control extraction based shunt active power filteren_US
dc.typeArticleen_US

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