Renewable energy resources energy is widely collected from the natural resources of wind, photovoltaic, and geothermal heat energy. Generally, the hybrid system is affected by the unwanted power quality issues such as harmonics, voltage sag, and swell. The proportional resonant (PR) controller is optimised with an Elephant herding optimisation (EHO) algorithm to investigate the dynamic performance of buck–cuk power converters in hybrid renewable energy sources. The proposed power converter is used to regulate the level of voltages by controlling the switching pulse of the converter depending on the duty cycle ratio. An EHO algorithm is employed for tuning the PR controller gain parameters. In the grid side, shunt active power filters are integrated, and the inductor–capacitor–inductor filter is utilised for solving the overshoot and settling time problems. The total harmonic distortion (THD) and steady-state error are reduced by the proposed technique. The proposed system is designed with the help of MATLAB/Simulink platform, and the output response is determined with the simulated results. The dynamic response of the proposed system is examined based on simulated outcomes, and THD comparison analysis is performed with the existing controllers such as proportional–derivative, proportional–integral–derivative, and fuzzy controller.

中文翻译：

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使用EHO优化的PR控制器，可再生能源中的Buck-cuk转换器的动态性能提高

可再生能源能源是从风能，光伏能和地热能的自然资源中广泛收集的。通常，混合动力系统会受到有害的电能质量问题的影响，例如谐波，电压骤降和骤升。比例共振（PR）控制器采用大象群优化（EHO）算法进行了优化，以研究混合可再生能源中的降压-并联功率变换器的动态性能。提出的功率转换器用于通过根据占空比来控制转换器的开关脉冲来调节电压电平。采用EHO算法来调节PR控制器增益参数。在电网侧，集成了并联有源功率滤波器，电感-电容-电感滤波器用于解决过冲和建立时间问题。所提出的技术降低了总谐波失真（THD）和稳态误差。该系统是在MATLAB / Simulink平台的帮助下设计的，输出响应由仿真结果确定。基于模拟结果检查了所提出系统的动态响应，并使用现有控制器（例如比例-导数，比例-积分-导数和模糊控制器）进行了THD比较分析。