Design of grid-connected photovoltaic system using evolutionary programming

Abstract

This paper presents an intelligent-based sizing algorithm for the design of grid-connected photovoltaic system using evolutionary programming. Evolutionary programming had been used to select the optimal PV module and inverter from pre-developed databases such that the expected technical performance of the design could be maximized. The proposed algorithm, known as evolutionary programming-based sizing algorithm (EPSA), was able to produce similar sizing results with an iterative-based benchmark sizing algorithm. In addition, EPSA was also found to produce the accurate results at a faster rate than the benchmark algorithm. Further investigation on the evolution of the fitness value had shown a consistent improvement of the fitness value after each evolution.