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<p>The present research work presents an adaptive grid-tied solar photovoltaic system (SPV), with an evolutionary cuckoo search optimization (CSO) technique. CSO technique is used for tracking the maximum power of solar photovoltaic (PV) as well as to regulate the DC bus voltage by adaptively tuning the PI gain value of the DC voltage controller. The presented CSO-maximum power point technique (MPPT) has high PV power tracking capability, under variable atmospheric conditions. Further to regulate the DC bus voltage, the parameters of PI controller in voltage source inverter (VSI) are optimized using CSO technique. The CSO-MPPT technique along with CSO-PI controller provides better power quality performance by reducing total harmonic distortion (THD) in grid current and system work under unity power factor (UPF) mode. Also, it has been observed that by using CSO-PI along with CSO-MPPT, the various performance indices such as mean square error (MSE), mean absolute error (MAE) and root mean square error (RMSE), get improved. The developed CSO-PI controller for regulating the DC bus voltage is also compared with the conventional PI controller and particle swarm optimization based-PI (PSO-PI) controller under variable input and grid conditions. The simulation has been performed in MATLAB 2020a/Simulink environment.</p>

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Performance enhancement of grid-tied SPV system using evolutionary optimization technique

  • 期刊论文

  • 发表日期：

    2025年8月27日

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  • Shruti Prajapati,
  • Rachana Garg,
  • Priya Mahajan

摘要

The present research work presents an adaptive grid-tied solar photovoltaic system (SPV), with an evolutionary cuckoo search optimization (CSO) technique. CSO technique is used for tracking the maximum power of solar photovoltaic (PV) as well as to regulate the DC bus voltage by adaptively tuning the PI gain value of the DC voltage controller. The presented CSO-maximum power point technique (MPPT) has high PV power tracking capability, under variable atmospheric conditions. Further to regulate the DC bus voltage, the parameters of PI controller in voltage source inverter (VSI) are optimized using CSO technique. The CSO-MPPT technique along with CSO-PI controller provides better power quality performance by reducing total harmonic distortion (THD) in grid current and system work under unity power factor (UPF) mode. Also, it has been observed that by using CSO-PI along with CSO-MPPT, the various performance indices such as mean square error (MSE), mean absolute error (MAE) and root mean square error (RMSE), get improved. The developed CSO-PI controller for regulating the DC bus voltage is also compared with the conventional PI controller and particle swarm optimization based-PI (PSO-PI) controller under variable input and grid conditions. The simulation has been performed in MATLAB 2020a/Simulink environment.