Analysis of Grid Connected Hres With Modified Sheppard Converter and Fuzzy-PSO Algorithm

Over the last few years, the electricity sector has become increasingly dependent on renewable energy sources (RES]. Green energy has recently become a top priority for experts in order to meet rising electricity demand. As a result, environmental organisations have promoted the utilization of RES like solar, wind and tidal energy as an alternative to fossil fuels for electricity generation. Due to current research and development in power electronics, wind and solar energy, in particular, have been reported to be more practical in large-scale deployment. In this paper, an efficient hybrid renewable energy system integrating solar and wind energy is proposed which utilizes a modified Sheppard Taylor converter. The converter performs regulation of output voltage under varying load and input voltage with negligible input current ripple. A fuzzy-PSO approach is exploited for the efficient tracking of maximum power to obtain optimized results with rapid speed of convergence and the PWM pulses generated provide optimal duty cycle to the converter switch. A grid connected
$3\varphi$
VSI along with LC filter modelled by dq theory is utilized which converts the stationary abc axis into dq axis that rotates synchronously. The entire system is realized by MATLAB/SIMULINK and the efficient outputs are obtained with reduced THO of 0.86%.