Fault-tolerant cooperative control in an offshore wind farm using model-free and model-based fault detection and diagnosis approaches. (1st September 2017)

• Record Type: Journal Article
• Authors: Badihi, Hamed; Zhang, Youmin; Hong, Henry
• Is Part Of: Applied energy. Volume 201(2017)
• Page Start: 284
• Page End: 307
• Publication Date: 2017-09-01
• Subjects: Fault detection and diagnosis (FDD) -- Fault-tolerant control (FTC) -- Fault-tolerant cooperative control (FTCC) -- Wind turbines -- Wind farm -- Turbine blade erosion -- Debris build-up faults; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2016.12.096
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: AFTCC schemes using an integrated FDD and FTC approach are developed. A model-free FDD system is designed using a rule-based threshold test technique. A model-based FDD system is designed using a fuzzy modelling technique. Different simulations are performed on a high-fidelity offshore wind farm model. Effective fault detection, diagnosis and accommodation results are achieved. Abstract: Given the importance of reliability and availability in wind farms, this paper focuses on the development of fault diagnosis and fault-tolerant control schemes in a cooperative framework (referred to as active fault-tolerant cooperative control) at the wind farm level against the decreasing power generation caused by turbine blade erosion and debris build-up on the blades over time. In more details, the paper presents a novel integrated fault detection and diagnosis and fault-tolerant control approach oriented to the design and development of two active fault-tolerant cooperative control schemes for an offshore wind farm. Each of the schemes employs a fault detection and diagnosis system to provide accurate and timely diagnosis information to be used in an appropriate automatic signal correction algorithm for accommodation of faults in the wind farm. The effectiveness and performance of the proposed schemes are evaluated and compared using different simulations on a high-fidelity offshore wind farm benchmark model in the presence of wind turbulences, measurement noises and realistic fault scenarios.