Influence of interval type-2 fuzzy control approach for a grid-interconnected doubly-fed induction generator driven by wind energy turbines in variable-speed system

Abstract

This paper suggests a developed control technique using an interval type-2 fuzzy logic control (FLC) tuned PI for optimum torque adjustment for wind turbines operated by doubly fed induction generator (DFIG). The suggested control regulates the error of the mechanical rotor speed to enhance the performance of the torque and the output power results in the study system's overall performance improving. The suggested control combines the advantages of the two techniques: fast response of conventional PI control and adaptively properties of interval type-2 FLC. The studied system is a wind farm of 9 MW composed of 6 wind turbines of 1.5 MW each. Wind speed functions of several types are studied such as step change, extreme change, and constant high speed. The results indicate how the power and optimal torque have fast response with interval type-2 FLC tuned PI compared to the type-1 fuzzy tuned PI and conventional PI control. The simulated results deduce that the suggested interval type-2 FLC can enhance the wind energy system's stability and reliability in a better manner compared to the type-1 FLC and conventional PI.

Control Strategies of DFIG Technology-based Variable-Speed Wind Turbines-A Review

“…For wind based turbines, FLC tunned PI which is an interval type-2 for the adjustment of optimal torque have been utilised by a control strategy driven through DFIG has been developed by Hamdan, I., et al [31] and published in Nature Communications. The proposed control reduces mechanical rotor speed error which leads to boost up the improve output torque and performance of power, which raises the output of the entire research system.…”

Direct Torque Control With Space Vector Modulation Using Interval Type 2 Fuzzy Logic Regulators of Dual Star Induction Machine Fed by Two Three-Level Neutral Point Clamped Inverter

“…Similarly, the interval type 2 fuzzy controller has a comparable structure but uses a type of reducer to convert type 2 fuzzy sets into type 1 ones before the defuzzification phase. The diagram below [8,17,18] illustrates the various operations involved: Fig. 7 -Structure of IT2FLS [16].…”

A Review of Intelligent Control Systems for Grid Tie Doubly Fed Induction Generator Based Wind Farm

“…A 3-level H-bridge APF with a direct connection to the distribution network is modified by the authors in [86]. Other recent works of literature explore strategies to improve APFs through the invention of novel controller designs or topologies [87][88][89][90][91][92][93][94][95][96].…”