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Research Article |

DFIG in Wind Energy Applications with High Order Sliding Mode Observer-based Fault-Tolerant Control Scheme using Sea Gull Optimization

Author(s): Sarika. S* and Anitha Janet Mary. S

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 2

Publisher : FOREX Publication

Published : 30 April 2024

e-ISSN : 2347-470X

Page(s) : 352-358

DOI: https://doi.org/10.37391/IJEER.120204

Abstract

This paper describes a new method for maximizing power extraction from a wind energy conversion system (WECS) by using a doubly fed induction generator (DFIG) that operates below nominal wind speed. To maximize the collected power of a wind turbine (WTG) exposed to actuator failure, a fault-tolerant high-order sliding mode observer (HOSMO) and Seagull Optimization Algorithm with a model predictive controller (MPC) technique is proposed. Evaluate both the real state and the sensor error simultaneously using a higher-order sliding-mode observer. Active fault tolerant controllers are designed to regulate wind turbine rotor speed and power in the presence of actuator defects and uncertainty. With the growing interest in employing wind turbines (WTGs) as the primary generators of electrical energy, fault tolerance has been seen as essential to improving efficiency and reliability. This research focuses on optimal fault-tolerant pitch control, which is used to modify the pitch angle of wind turbine blades in the event of sensor, actuator, and system failures. A Seagull Optimization Algorithm (SOA) is proposed to tune controller parameters to improve the performance of WT. The proposed method has achieved 92% of power tracking performance when compared to existing method.

Keywords: High Order Sliding Mode Observer (HOSMO), Seagull Optimization algorithm (SOA), Doubly-fed induction generator (DFIG).




Sarika. S*, Research Scholar, Department of Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education, Thuckalay, Tamil Nadu, India; Email: sarika.ajith@yahoo.in

Anitha Janet Mary. S, Associate Professor, Department of Electrical and Electronics Engineering, Noorul Islam Centre for Higher Education, Kanyakumari, Tamil Nadu, India; Email: anitharuphus@gmail.com

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Sarika. S and Anitha Janet Mary. S (2024), DFIG in Wind Energy Applications with High Order Sliding Mode Observer-based Fault-Tolerant Control Scheme using Sea Gull Optimization. IJEER 12(2), 352-358. DOI: 10.37391/IJEER.120204.