Abstract
A novel Grasshopper Optimization (GOA) based Xilinx System Generator (XSG) controller is proposed for the purpose of evaluating the Maximum Power Point Tracking in the grid integrated Photovoltaic (PV) power generation system. The proposed controller functions with the assistance of the GOA algorithm and the XSG procedures. The innovation of the controller is intended to collect the maximum power produced from the PV array in accordance with the solar irradiance and temperature of the array. The proposed GOA algorithm based XSG controller is achieved by maximum power from the PV array, it is necessary to adjust the switching signal for the voltage source inverter (VSI). The proposed PV structure is elegantly designed in the mighty platform of the MATLAB/Simulink and the switching schemes are produced in accordance with the XSG controller. At last, the output response of the presented GOA based XSG controller is analyzed and compared with conventional techniques such as the Particle Swarm Optimization (PSO) and the Artificial Bee Colony (ABC) algorithms.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
