Multi-objective hybrid GA-PSO optimized PI control for grid-connected PV-fed cascaded H-bridge multilevel inverter


Sharma B., Saxena V., Manna S., Rao P. N., Alsharif M. H., YAHYA H., ...Daha Fazla

Scientific Reports, cilt.16, sa.1, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1038/s41598-026-50178-x
  • Dergi Adı: Scientific Reports
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Chemical Abstracts Core, EMBASE, MEDLINE, Directory of Open Access Journals, Zoological Record, Academic Search Ultimate (EBSCO), Natural Science Collection (ProQuest), Biological Science Database (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest)
  • Anahtar Kelimeler: DC-link voltage balancing, Hybrid GA-PSO, PI controller optimization, PV-integrated inverter
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

The growing integration of PV energy systems into modern power grids necessitates advanced control techniques to maintain stable operation, fast dynamic response, and high-power quality under nonlinear and time-varying conditions. Cascaded H-bridge multilevel inverters (CHB-MLI) are widely adopted for grid-connected PV applications. This study develops a closed-loop control for a PV Integrated on-grid five-level CHB-MLI aimed at enhanced dynamic response and improved power quality. The hybrid GA-PSO technique is used for optimal tuning of PI controllers governing grid current regulation and DC-link voltage balancing through a multi-objective fitness function. The optimization framework simultaneously minimizes THD, DC-link voltage imbalance, steady state error and settling time. The simulation results are obtained by using MATLAB/Simulink, which demonstrates the feasibility of the proposed controller. Real-time validation using an OPAL-RT simulator further confirms the robustness and practical effectiveness of the hybrid GA-PSO-based PI control.