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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月27日

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  • Bhupender Sharma,
  • Vivek Saxena,
  • Saibal Manna,
  • Pandry Narendra Rao,
  • Mohammed H. Alsharif,
  • Khalid Yahya,
  • Mun-Kyeom Kim

摘要

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.