Experimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor variable-speed wind turbine systems

Basit Öğe Kaydı
dc.authorscopusidİlhami Çolak / 6602990030
dc.authorwosidİlhami Çolak / KGT-0825-2024
dc.contributor.authorBenbouhenni, Habib
dc.contributor.authorBizon, Nicu
dc.contributor.authorYessef, Mourad
dc.contributor.authorElbarbary, Z.M.S.
dc.contributor.authorÇolak, İlhami
dc.contributor.authorBossoufi, Badre
dc.contributor.authorAl Ayidh, Abdulrahmane
dc.date.accessioned2025-04-18T10:30:39Z
dc.date.available2025-04-18T10:30:39Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractThe direct power control (DPC) algorithm is one of the most popular linear techniques used to implement notable controllers, known for their simplicity and fast dynamic response. However, this approach has drawbacks that cause a decrease in the current quality and disturbances in the network. Therefore, this experimental work presents a simple and efficient solution that uses a proportional-integral regulator based on a genetic algorithm to regulate the power quality. The designed approach uses a pulse width modulation to produce control pulses for the operation of the rotor inverter of a doubly-fed induction generator-based multi-rotor wind system. This approach is first verified in MATLAB using a 1500 kW generator operating under different working conditions. Furthermore, the processor-in-the-loop (PIL) test using dSPACE 1104 is used to verify the efficacy and ability of the designed approach in enhancing the effectiveness of the power system under study. The results obtained in all tests demonstrate that compared to DPC, the designed approach reduces active power ripples with estimated percentages of 71.42%, 66.67%, and 70%, and the reactive power overshoot value is reduced with estimated percentages of 92.85%, 56.48%, and 79.21%. In addition, the experimental results (using the PIL test) confirm the ability of the designed control algorithm to enhance the energy and current quality, which makes this designed technique a suitable solution in the field of control. © The Author(s) 2024.
dc.description.sponsorshipThe authors declare no competing interests.Acknowledgement This research was supported by King Khalid University, Research Project RGP.1/594/44
dc.identifier.citationBenbouhenni, H., Bizon, N., Yessef, M., Elbarbary, Z. M. S., Colak, I., Bossoufi, B., & Al Ayidh, A. (2025). Experimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor variable-speed wind turbine systems. Scientific Reports, 15(1), 1407.
dc.identifier.doi10.1038/s41598-024-81281-6
dc.identifier.issn20452322
dc.identifier.issue1
dc.identifier.pmid39789013
dc.identifier.scopus2-s2.0-85214910851
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1038/s41598-024-81281-6
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7097
dc.identifier.volume15
dc.identifier.wosWOS:001394989600003
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorÇolak, İlhami
dc.institutionauthoridİlhami Çolak / 0000-0002-6405-5938
dc.language.isoen
dc.publisherNature Research
dc.relation.ispartofScientific Reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDirect Power Control
dc.subjectDoubly-fed İnductive Generator
dc.subjectGenetic Algorithm
dc.subjectMulti-Rotor Wind Systems
dc.subjectProcessor-İn-The-Loop Test
dc.subjectProportional-İntegral Regülatör
dc.subjectPulse Width Modulation
dc.titleExperimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor variable-speed wind turbine systems
dc.typeArticle

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Elektrik-Elektronik Mühendisliği Bölümü Makale Koleksiyonu