Efficient and Fast Wind Turbine MPPT Algorithm Using TS Fuzzy Logic and Optimal Relation Methods

Abstract

This paper proposes an efficient and fast maximum power point tracking (MPPT) algorithm for a wind turbine (WT) connected to a battery bank via a permanent magnet synchronous generator, a three-phase diode rectifier, and a dc-dc boost converter. The algorithm is based on the Takagi-Sugeno (TS) fuzzy system and optimal relation methods and is called TS-MPPT. The fuzzy system computes the converter duty cycle using an input that combines the error and its rate of change. The error is the difference between the reference current computed from the optimal relation and the rectifier current. The methods used in the algorithm resulted in a five-rule TS fuzzy system, which contributed to a fast algorithm in terms of its total execution time (TET): 89.12 s on the F28069M board. The TET attained enabled a synchronized operation of the algorithm with the converter switching frequency. Additionally, the results based on the processor-in-the-loop simulation approach show that the TS-MPPT algorithm achieves an effective MPP tracking process with an energy conversion efficiency of 99.43% and behaves properly when evaluated over the typical WT power curve. Furthermore, the effectiveness and performance of the proposed algorithm are demonstrated against others using the proportional-integral controller, the Mamdani fuzzy method, and a TS fuzzy model from the literature.