The demand for energy derived from non-conventional sources is increasing.It is essential to optimize the efficiency of renewable energy from sources such as wind and solar.This article introduces high-gain Quasi Z-So...The demand for energy derived from non-conventional sources is increasing.It is essential to optimize the efficiency of renewable energy from sources such as wind and solar.This article introduces high-gain Quasi Z-Source inverters(QZSI)for grid-tied PV/wind energy applications to improve the limitations of conventional six-switched Voltage Source Converters(VSC).This new approach aims to revolutionize grid-tied renewable energy systems by integrating advanced technology and optimization techniques.By utilizing the unique features of QZSI and implementing the ABC algorithm,the proposed model achieves exceptional efficiency,reliability,and adaptability levels.Furthermore,the article utilizes the Artificial Bee Colony(ABC)algorithm to optimize control and track solar and wind systems'Maximum Power Point(MPPT).The model's performance is evaluated by testing system dynamics such as DC-link voltage control,power flow regulation,and grid/PV/wind energy generation on a scaled prototype developed using MATLAB SIMULINK.The simulation results demonstrate the effectiveness of the ABC algorithm and QZSI power converter in various operational modes,both with and without fault conditions.展开更多
基金supported by“Woosong University’s Academic Research Funding-2025”.
文摘The demand for energy derived from non-conventional sources is increasing.It is essential to optimize the efficiency of renewable energy from sources such as wind and solar.This article introduces high-gain Quasi Z-Source inverters(QZSI)for grid-tied PV/wind energy applications to improve the limitations of conventional six-switched Voltage Source Converters(VSC).This new approach aims to revolutionize grid-tied renewable energy systems by integrating advanced technology and optimization techniques.By utilizing the unique features of QZSI and implementing the ABC algorithm,the proposed model achieves exceptional efficiency,reliability,and adaptability levels.Furthermore,the article utilizes the Artificial Bee Colony(ABC)algorithm to optimize control and track solar and wind systems'Maximum Power Point(MPPT).The model's performance is evaluated by testing system dynamics such as DC-link voltage control,power flow regulation,and grid/PV/wind energy generation on a scaled prototype developed using MATLAB SIMULINK.The simulation results demonstrate the effectiveness of the ABC algorithm and QZSI power converter in various operational modes,both with and without fault conditions.
