A Novel Grey Wolf Optimizer Based Load Frequency Controller for Renewable Energy Sources Integrated Thermal Power Systems

Basit Öğe Kaydı
dc.authoridEROĞLU, HASAN/0000-0002-7233-5569
dc.authoridKotb, Hossam/0000-0001-6763-8189
dc.authoridCan, Ozay/0000-0003-1802-3502
dc.authorwosidEROĞLU, HASAN/F-4620-2014
dc.authorwosidKotb, Hossam/ABB-5781-2021
dc.contributor.authorCan, Ozay
dc.contributor.authorÖztürk, Ali
dc.contributor.authorEroğlu, Hasan
dc.contributor.authorKotb, Hossam
dc.date.accessioned2023-07-26T11:54:29Z
dc.date.available2023-07-26T11:54:29Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThe frequency value should be kept constant to ensure and maintain synchronization in power systems. When the balance between generation and load is interrupted, the frequency value increases or decreases. This frequency deviation may lead to serious problems in the power system. Therefore, a design of a controller is required to keep the system frequency and tie-line power variations within specified limits, which is called automatic generation control (AGC) or load frequency control (LFC). This paper aims to determine the optimal controller parameters used in the LFC for a two-area non-reheat thermal power system integrated with various renewable energy sources (RES) such as photovoltaic (PV) and wind energy systems. The proposed controller is a PI-(1 + DD) controller which is a combination of proportional, integral, and double derivative controllers. The optimal gains of the proposed controller are determined by the Grey Wolf Optimization (GWO) algorithm. Moreover, the performance of the PI-(1 + DD) controller is tested under various scenarios such as different step load perturbations, random load changes, system parameters and RES variation. The results show that the PI-(1 + DD) controller provides an improvement of about 40% in system frequency overshoot and about 45% in settling time compared to other controllers.en_US
dc.identifier.doi10.1080/15325008.2022.2050450
dc.identifier.endpage1259en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue15en_US
dc.identifier.scopus2-s2.0-85131043413en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1248en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2022.2050450
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12846
dc.identifier.volume49en_US
dc.identifier.wosWOS:000800223100001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖztürk, Ali
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofElectric Power Components and Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectAutomatic Generation Control; Grey Wolf Optimization; Load Frequency Control; Pi-(1+Dd) Controller; Renewable Energy Sources; Thermal Power System; Pv System; Wind Energy System; Heuristic Techniquesen_US
dc.titleA Novel Grey Wolf Optimizer Based Load Frequency Controller for Renewable Energy Sources Integrated Thermal Power Systemsen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
12846.pdf
Boyut:
1.61 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu