Influence of energy storage device on load frequency control of an interconnected dual-area thermal and solar photovoltaic power system

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dc.authoridÖztürk, Nihat/0000-0002-0607-1868
dc.authorwosidÖztürk, Nihat/H-8697-2018
dc.contributor.authorÇelik, Emre
dc.contributor.authorÖztürk, Nihat
dc.contributor.authorHoussein, Essam H.
dc.date.accessioned2023-07-26T11:57:15Z
dc.date.available2023-07-26T11:57:15Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThe mismatch between power generation and load demand causes unwanted fluctuations in frequency and tie-line power, and load frequency control (LFC) is an inevitable mechanism to compensate the mismatch. For this issue, this paper explores the influence of energy storage device (ESD) on ameliorating the LFC performance for an interconnected dual-area thermal and solar photovoltaic (PV) power system. Initially, to alleviate the frequency and tie-line power deviations, a proportional-integral (PI) controller is chosen and utilized in the system due to its effectiveness and simplicity in practice. For achieving the highest performance from this controller, salp swarm algorithm (SSA) is employed to search for optimal controller parameters by using integral of time-multiplied absolute error (ITAE) criterion. To affirm the contribution of SSA optimized PI controller, it is contrasted with a recent approach utilizing PI controller optimized by genetic algorithm (GA) and firefly algorithm (FA). It is observed that the results acquired for SSA are better than for GA and FA. To improve the system performance further, ESD such as redox flow battery (RFB) famous for its excellent disturbance rejection capability is integrated with the thermal power unit for the first time in the literature. It is divulged from the results that the system performance with RFB has boosted considerably with regard to shorter settling time, less undershoot/overshoot and smaller ITAE value of the frequency and tie-line power fluctuations. According to the sensitivity analysis, our proposal is found robust against system parameters variations and different loading conditions.en_US
dc.identifier.doi10.1007/s00521-022-07558-x
dc.identifier.endpage20099en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue22en_US
dc.identifier.scopus2-s2.0-85134507946en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage20083en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-022-07558-x
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13095
dc.identifier.volume34en_US
dc.identifier.wosWOS:000826834600001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇelik, Emre
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectLoad Frequency Control (Lfc); Pi Controller; Pv Grid; Energy Storage Device; Redox Flow Battery; Salp Swarm Algorithm; Optimizationen_US
dc.subjectAutomatic-Generation Control; Comparative Performance Analysis; Invasive Weed Optimization; Salp Swarm Algorithm; Redox Flow Batteries; Design; Agc; Parametersen_US
dc.titleInfluence of energy storage device on load frequency control of an interconnected dual-area thermal and solar photovoltaic power systemen_US
dc.typeArticleen_US

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