Scopus Eşleşmesi Bulundu
16
Atıf
8
Cilt
588-596
Sayfa
🔓
Açık Erişim
Scopus Yazarları: Yasin Bektaş, Hulusi Karaca
Özet
This study aims to find the optimal switching angles in a cascaded H-bridge multilevel inverter (CHB-MLI) fed by photovoltaic (PV) panels, keeping the output voltage constant regardless of the panel voltage change and eliminating low-order harmonics. For this purpose, Red Deer Algorithm (RDA), a newly developed algorithm, has been applied to solve selective harmonic elimination (SHE) equations. Calculated switching angles are simulated by applying three-phase 7-level CHB-MLI in Matlab/Simulink environment. RDA optimization has been compared in performance to evolutionary algorithms such as particle swarm optimization (PSO), genetic algorithm (GA) and pigeon inspired optimization (PIO). The results show that in the case of unequal DC voltage, RDA can suppress selected harmonics accurately and quickly while controlling the fundamental voltage with a 0.02% error. The proposed RDA optimization can be used for multilevel inverters fed by any number of variable input voltages to eliminate selected harmonics and reduce total harmonic distortion (THD) without complex analytical calculations.
Anahtar Kelimeler (Scopus)
Red Deer Algorithm (RDA)
Unequal DC sources
Multilevel inverter (MLI)
Renewable energy
Selective harmonic elimination (SHE)
Anahtar Kelimeler
Red Deer Algorithm (RDA)
Unequal DC sources
Multilevel inverter (MLI)
Renewable energy
Selective harmonic elimination (SHE)
Makale Bilgileri
Dergi
Energy Reports
ISSN
2352-4847
Yıl
2022
/ 1. ay
Cilt / Sayı
8
Sayfalar
588 – 596
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
SCI-Expanded
JCR Quartile
Q2
TEŞV Puanı
1152,00
Yayın Dili
İngilizce
Kapsam
Uluslararası
Toplam Yazar
2 kişi
Erişim Türü
Elektronik
Erişim Linki
Makaleye Git
Alan
Mühendislik Temel Alanı
Elektrik-Elektronik Mühendisliği
Güç Elektroniği
Yenilenebilir Enerji Sistemleri
YÖKSİS Yazar Kaydı
Yazar Adı
BEKTAŞ YASİN, KARACA HULUSİ
YÖKSİS ID
6491239
Hızlı Erişim
Metrikler
Scopus Atıf
16
JCR Quartile
Q2
TEŞV Puanı
1152,00
Yazar Sayısı
2