Design and implementation of interval type-2 fuzzy logic-PI based adaptive controller for DFIG based wind energy system. (February 2020)

• Record Type: Journal Article
• Authors: Naik, Kanasottu Anil; Gupta, Chandra Prakash; Fernandez, Eugene
• Is Part Of: International journal of electrical power & energy systems. Volume 115(2020)
• Publication Date: 2020-02
• Subjects: DFIG -- Adaptive fuzzy-PI -- Interval type-2 fuzzy-PI -- Real time simulation -- Dynamic stability -- Voltage sag -- Transient faults -- Wind speed; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2019.105468
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: An advanced interval type-2 fuzzy logic-proportional integral (PI) controller is implemented and designed for rotor side converter of DFIG. Real time simulations are developed to show the applicability of the proposed controller using the OPAL-RT digital simulator. Different test cases have been considered such as three-phase fault and voltage sag with varying wind speed. The performance of the proposed (type-2 FLC-PI) controller is examined through a comparative analysis with its traditional fuzzy logic-PI counterpart. Implemented proposed controller has improved the performance of the DFIG as desired by the grid codes. Abstract: In this paper, an advanced interval type-2 fuzzy logic-proportional integral (PI) controller has been proposed for torque and voltage control loops of rotor side converter of doubly fed induction generator (DFIG). The gains of PI controller are determined and tuned by interval type-2 fuzzy logic method according to system operating condition. Thus, the adaptive nature of type-2 fuzzy logic and robust nature of PI controller are combined eventually, which exhibits good steady state and dynamic responses. The performance of the proposed controller has been evaluated for different operating conditions of DFIG such as severe fault and voltage sag with reference to varying wind speed. Real time simulations are developed for DFIG based wind energy system (WES) to validate the proposed controller using the OPAL-RT digital simulator. The performance of the proposed controller is examined through a comparative analysis with its traditional fuzzy logic-PI counterpart. The transient analysis of DFIG with interval type-2 fuzzy-PI shows the improved results subjected to three-phase fault and voltage sag as desired by the grid codes.