Photovoltaic global maximum power point tracking method based on fuzzy PI control

Abstract

At present, algorithms for finding the maximum power point of photovoltaic systems generally have some limitations, especially in cases of uneven light intensity, traditional algorithms often fall into local optima, with limited application space, and their tracking speed and stability are also not very good. To address this issue and improve tracking performance, the combination control of global scanning and fuzzy PI control is proposed. This combination control can avoid falling into local optima and achieve stable output of maximum power. This article first proves theoretically that the proposed method can achieve maximum power output; Then, an experimental platform was built for testing. Build control and sampling circuits and use a solar simulator to irradiate the photovoltaic array unevenly. In this environment, test the control effects of combination control, conductivity increment method, and disturbance observation method respectively. Through testing, it was found that compared to conductivity increment method and disturbance observation method, the proposed method in this article has faster tracking speed, higher output power, and better stability. The overall performance of combination control is better than other algorithms and has a relatively broad application space.