An islanded microgrid energy system with an innovative frequency controller integrating hydrogen-fuel cell

dc.authorscopusid57212269576
dc.authorscopusid57193610754
dc.authorscopusid57203021132
dc.authorscopusid57765783100
dc.contributor.authorYıldız, Süleyman
dc.contributor.authorGündüz, Hasan
dc.contributor.authorYıldırım, Burak
dc.contributor.authorÖzdemir, Mahmut Temel
dc.date.accessioned2022-09-04T10:27:13Z
dc.date.available2022-09-04T10:27:13Z
dc.date.issued2022
dc.departmentMeslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektrik ve Enerji Bölümüen_US
dc.departmentMeslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektrik ve Enerji Bölümüen_US
dc.description.abstractNowadays, energy in microgrids may be produced from numerous renewable sources, yet the effective and sustainable use of these resources depends on energy storage systems. As a result, the growth of microgrids relies heavily on hydrogen energy. For load frequency control studies, we propose an approximation model of a microgrid incorporating photovoltaic (PV), biogas and diesel generators, as well as a fuel cell, electrolyzer, and reformer energy storage unit. When the total quantity of renewable energy produced surpasses the amount of power required, the excess energy is transformed to hydrogen using an electrolyzer. In addition, surplus biogas fuel in the system is converted to hydrogen by the reformer and stored. The fuel cell utilizes the hydrogen stored in a battery to generate electricity as required. The unpredictable and nature-dependent structure of renewable energy resources makes it extremely difficult to establish a balance between demand and supply of energy. The microgrid in this study is designed to use Cascade Double-Input Interval Type 2 Fuzzy Logic Controller (C-DIT2FLC) for load frequency regulation. The Improved Salp Swarm Algorithm (ISSA), a modern optimization algorithm for this proposed model, is used to determine the basic parameters of the PI-PD cascade controller. The CDIT2-FLC changes the controller gains estimated by optimization so that the controller performs the load frequency control effectively. Utilizing actual solar radiation data, a load demand shift, and several renewable resource contributing scenarios, the performance of C-DIT2-FLC is evaluated for load frequency control (LFC). In comparison to previous controllers, the proposed controller has obtained frequency response gains varying between 59% and 84% based on the ITAE-performance index (Integral of Time-weighted Absolute Error). According to the research findings, the proposed controller (C-DIT2-FLC) outperforms other controllers in terms of performance.en_US
dc.identifier.doi10.1016/j.fuel.2022.125005
dc.identifier.issn0016-2361
dc.identifier.issn1873-7153
dc.identifier.orcid0000-0003-3145-1755
dc.identifier.orcidYILDIZ, Suleyman
dc.identifier.orcid0000-0003-2325-8058
dc.identifier.scopus2-s2.0-85132883635
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.fuel.2022.125005
dc.identifier.urihttps://hdl.handle.net/20.500.12639/4761
dc.identifier.volume326en_US
dc.identifier.wosWOS:000824207900005
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYıldız, Süleyman
dc.institutionauthorGündüz, Hasan
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofFuelen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutonomous Microgrid; Renewable energy; Aqua electrolyzer; Fuel cell; Improved-salp swarm algorithm; Type-2 fuzzy logicen_US
dc.subjectFuzzy Pid Controller; Stability Analysis; Control Strategy; Pd Controller; Algorithm; Design; Performanceen_US
dc.titleAn islanded microgrid energy system with an innovative frequency controller integrating hydrogen-fuel cellen_US
dc.typeArticle

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