OPTIMIZATION OF PHOTOVOLTAIC SYSTEM AND ALGORITHM DEVELOPMENT
Faculty
Year of Publication
upload
Publication Type
Abstract
This project presents the optimization of PV systems and development of optimization algorithms for optimizing the power output of a solar PV system. The aim of the project was to
investigate and understand the various existing optimization techniques and methods, then develop an algorithm that can optimize a Solar PV system. The optimization method used was MPPT (maximum power point tracking) and P&O algorithm, INC algorithm and Genetic algorithm were developed. Development and simulation of the optimization methods and developed algorithms was achieved with the use of MATLAB SIMULINK software. For this project, the output of the optimized system with the MPPT method trained with P&O optimization, INC algorithm and Genetic algorithm were compared with the output of an unoptimized system under different atmospheric conditions and then to each other. The results of the optimized system were compared with the result of the unoptimized system. From the result, it was found out that the optimized system has a better response, lesser error, better accuracy and tracking speed than the unoptimized system. At the end of the project, it became obvious for the need of optimization in PV system and the step-by-step process of developing an optimization algorithm was shown.
investigate and understand the various existing optimization techniques and methods, then develop an algorithm that can optimize a Solar PV system. The optimization method used was MPPT (maximum power point tracking) and P&O algorithm, INC algorithm and Genetic algorithm were developed. Development and simulation of the optimization methods and developed algorithms was achieved with the use of MATLAB SIMULINK software. For this project, the output of the optimized system with the MPPT method trained with P&O optimization, INC algorithm and Genetic algorithm were compared with the output of an unoptimized system under different atmospheric conditions and then to each other. The results of the optimized system were compared with the result of the unoptimized system. From the result, it was found out that the optimized system has a better response, lesser error, better accuracy and tracking speed than the unoptimized system. At the end of the project, it became obvious for the need of optimization in PV system and the step-by-step process of developing an optimization algorithm was shown.
Supervisor(s)
co-supervisor