Dynamic performance improvement of buck-cuk converter in renewable energy resources using EHO optimised PR controller

Abstract

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.