Maximum Power Point Tracking of Photovoltaic System Using Taguchi-based Fuzzy Logic Control

Photovoltaic (PV) power generation has characteristics of uncertainty and intermittence due to varying irradiances and temperatures. Maximum Power Point Tracking (MPPT) algorithm in a DC/DC converter ensures the PV is able to generate its maximum power according to its power-voltage curve. This paper proposes a novel method based on Fuzzy Logic System (FLS) to tune the control gains. Sixty-three scenarios considering varying insolation and temperature from nine Taguchi's orthogonal experiments are studied to achieve a robust design of control gains. The obtained optimal control gains of FLS hence can be applied to different meteorological conditions. A standalone PV system with a boost converter and load is used to show the applicability of the proposed method.