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<p>Recently, implementation of microgrids and distributed power generation has exploded in part because more renewable energy is being incorporated as their installation costs continue to drop. However, because of their high sensitivity to power variations, microgrids’ experience destabilizes amplitude and frequency changes in grid voltage owing to shifting loads or additional power sources. Accordingly, this paper develops an efficient control methodology for grid-tied photovoltaic (PV) system to improve power quality. In general, low DC voltage is generated by PV panels, which requires boosting to interface with grid or to match certain loads. Therefore, the Modified Re-Boost Landsman converter is proposed owing to its unique characteristics. To ensure optimal converter performance, Improved Grey Wolf-Whale Optimization Algorithm (IGWWOA) PI controller is established. The stabilized DC supply is converted into AC using a single-phase Voltage Source Inverter (1Φ VSI) for grid supply. To achieve grid synchronization Recurrent Neural Network (RNN) assisted Proportional Integral (PI) controller is introduced for generating reference current. Validation is simulated by means of MATLAB software and the effectiveness of the proposed framework is determined against prior works. Results show high conversion efficiency of 93.4%, Total Harmonic Distortion (THD) reduction to 1.8%, and unity power factor operation, outperforming conventional Boost and Landsman converters.</p>

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Efficient Control Strategy for Grid-Connected Photovoltaic Systems Using Modified Re-Boost Landsman Converter

  • 期刊论文

  • 发表日期：

    2026年6月26日

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  • E. Immanuvelbright,
  • R. Muthukumar

摘要

Recently, implementation of microgrids and distributed power generation has exploded in part because more renewable energy is being incorporated as their installation costs continue to drop. However, because of their high sensitivity to power variations, microgrids’ experience destabilizes amplitude and frequency changes in grid voltage owing to shifting loads or additional power sources. Accordingly, this paper develops an efficient control methodology for grid-tied photovoltaic (PV) system to improve power quality. In general, low DC voltage is generated by PV panels, which requires boosting to interface with grid or to match certain loads. Therefore, the Modified Re-Boost Landsman converter is proposed owing to its unique characteristics. To ensure optimal converter performance, Improved Grey Wolf-Whale Optimization Algorithm (IGWWOA) PI controller is established. The stabilized DC supply is converted into AC using a single-phase Voltage Source Inverter (1Φ VSI) for grid supply. To achieve grid synchronization Recurrent Neural Network (RNN) assisted Proportional Integral (PI) controller is introduced for generating reference current. Validation is simulated by means of MATLAB software and the effectiveness of the proposed framework is determined against prior works. Results show high conversion efficiency of 93.4%, Total Harmonic Distortion (THD) reduction to 1.8%, and unity power factor operation, outperforming conventional Boost and Landsman converters.