Title: A novel self-tuning PI controller for a DFIG-based wind turbine system

Authors: Shubhranshu Mohan Parida; Pravat Kumar Rout; Sanjeeb Kumar Kar

Addresses: Department of Electrical Engineering, Institute of Technical Education and Research (I.T.E.R.), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar - 751030, Odisha, India ' Department of Electrical and Electronics Engineering, Institute of Technical Education and Research (I.T.E.R.), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar - 751030, Odisha, India ' Department of Electrical Engineering, Institute of Technical Education and Research (I.T.E.R.), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar - 751030, Odisha, India

Abstract: This article presents a novel self-tuning proportional integral (ST-PI) controller for a grid connected wind turbine based on doubly-fed induction generator (DFIG) to regulate the active and reactive power under variable wind speed conditions. The gains of the controller are dynamically adjusted according to the error variation during transient conditions to damp the system oscillations faster with better settling time and lesser overshoot. They are designed to vary continuously according to the error based on tanh function logic within a pre-determined range. The proposed self-tuning controller is able to circumvent the problems usually associated during application of conventional PI controller with constant gain such as robustness, adaptability and wide range of operation. Simulation analysis and comparative studies with conventional PI controller reveal the efficacy of the proposed control scheme. Simulation is done for the system model to test the proposed approach using MATLAB.

Keywords: proportional integral controller; PI; self-tuning PI controller; ST-PI; doubly-fed induction generator; DFIG; wind turbine; WT; distributed generator; DG.

DOI: 10.1504/IJSCC.2019.098978

International Journal of Systems, Control and Communications, 2019 Vol.10 No.2, pp.176 - 190

Received: 22 Dec 2017
Accepted: 25 Oct 2018

Published online: 26 Feb 2019 *

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