Performance analysis of SSA optimized fuzzy 1PD-PI controller on AGC of renewable energy assisted thermal and hydro-thermal power systems

dc.contributor.authorÇelik, Emre
dc.date.accessioned2023-07-26T11:49:54Z
dc.date.available2023-07-26T11:49:54Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractNonlinear structure, vague loading characteristics and parameter uncertainties of the interconnected power system (IPS) have recently given birth to various controllers that better deal with automatic generation control (AGC). AGC plays a key role in ensuring the balance of generation and load demand in IPSs. If this balance is lost, then the system faces large frequency deviations. Thus, this work proposes a new fuzzy 1 + proportional + derivative-proportional + integral (F1PD-PI) controller to escalate AGC performance of different IPSs integrated with renewable energy sources (RES) including wind, solar and fuel cells. Inspiration for the proposed controller is unique and comes from combining the merits of fuzzy, 1PD and PI controllers. Salp swarm algorithm (SSA) is utilized to optimize the proposed controller's gains as well as fuzzy membership functions. The effectiveness and contribution of the advocated approach are demonstrated on a two-area reheat thermal system and a two-area multi-source hydro-thermal system by realizing an extensive comparison study with the state-of-the-art variants. The results substantiate that SSA optimized F1PD-PI controller has better performance than its competing peers in terms of minimum settling time, peak undershoot, peak overshoot and error-integrating performance criterion of the system responses. Nonlinearities from governor dead band and generation rate constraint are also studied, which verifies the performance of the control strategy in tackling nonlinearities. Additionally, the robustness of the controller is affirmed against parameter uncertainties and load disturbances. Finally, the stability of our proposal is checked using eigenanalysis.en_US
dc.identifier.doi10.1007/s12652-022-03751-x
dc.identifier.issn1868-5137
dc.identifier.issn1868-5145
dc.identifier.scopus2-s2.0-85124834392en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s12652-022-03751-x
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12156
dc.identifier.wosWOS:000756224300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇelik, Emre
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofJournal of Ambient Intelligence and Humanized Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectInterconnected Power System; Automatic Generation Control; Renewable Energy; Fuzzy Logic Controller; Governor Dead Band; Generation Rate Constraint; Salp Swarm Algorithmen_US
dc.subjectAutomatic-Generation Control; Dish-Stirling Solar; Pattern Search Technique; Load Frequency Control; Salp Swarm Algorithm; Derivative Controller; Pid Controller; Design; Parametersen_US
dc.titlePerformance analysis of SSA optimized fuzzy 1PD-PI controller on AGC of renewable energy assisted thermal and hydro-thermal power systemsen_US
dc.typeArticleen_US

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