Fractional order frequency proportional-integral-derivative control of microgrid consisting of renewable energy sources based on multi-objective grasshopper optimization algorithm

Basit Öğe Kaydı
dc.contributor.authorTabak, Abdulsamed
dc.date.accessioned2024-02-23T14:26:56Z
dc.date.available2024-02-23T14:26:56Z
dc.date.issued2022
dc.departmentNEÜen_US
dc.description.abstractIn recent years, fractional order proportional-integral-derivative (FOPID) controllers have been applied in different areas in the academy due to their superior performance over conventional proportional-integral-derivative (PID) controllers. When the literature is reviewed, it has been observed that lack of studies that use swarm-based and multi-objective optimization algorithms together with FOPID controllers in frequency control of micro-grid. The load frequency control (LFC) problem is considered as two objectives in order to eliminate the complications that occur when only the frequency deviation is minimized. In our study, a method called MOGOA-FOPID in which both the frequency deviation and the control signal are minimized together for the frequency control in the microgrid is proposed. By using the multi-objective grasshopper optimization algorithm (MOGOA), both the frequency deviation and the control signal are minimized together, and thus, it is aimed to limit the battery capacity, reduce the flywheel jerk and avoid high diesel fuel consumption as well as an effective frequency control. In order to obtain a more realistic system, not only the photovoltaic (PV) solar and wind power but also the load demand is taken in a stochastic structure. Then, the results of the proposed MOGOA-FOPID are compared with the results of multi-objective genetic algorithm (MOGA)-based PID/FOPID and MOGOA-PID and its superiority is demonstrated. Finally, robustness tests of the system are performed under the perturbed parameters and outperform of MOGOA-FOPID over other methods is seen.en_US
dc.identifier.doi10.1177/01423312211034660
dc.identifier.endpage392en_US
dc.identifier.issn0142-3312
dc.identifier.issn1477-0369
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85112454781en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage378en_US
dc.identifier.urihttps://doi.org/10.1177/01423312211034660
dc.identifier.urihttps://hdl.handle.net/20.500.12452/14374
dc.identifier.volume44en_US
dc.identifier.wosWOS:000684371900001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofTransactions Of The Institute Of Measurement And Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFractional Order Pid Controlleren_US
dc.subjectMulti-Objective Grasshopper Optimisation Algorithmen_US
dc.subjectLoad Frequency Controlen_US
dc.subjectMicrogriden_US
dc.subjectMulti-Objective Genetic Algorithmen_US
dc.subjectRenewable Energy Sourcesen_US
dc.titleFractional order frequency proportional-integral-derivative control of microgrid consisting of renewable energy sources based on multi-objective grasshopper optimization algorithmen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu