Prediction, operations, and condition monitoring in wind energy

• Published in: Energy (Oxford) Vol. 60; pp. 1 - 12
• Main Authors: Kusiak, Andrew, Zhang, Zijun, Verma, Anoop
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.10.2013; Elsevier
• Subjects: Applied sciences; Condition monitoring and fault detection; Energy; Exact sciences and technology; monitoring; Natural energy; physics; planning; prediction; statistics; wind direction; Wind energy; wind power; wind speed; Wind speed prediction; Wind turbine control; wind turbines; Condition monitoring and fault detection; Wind energy; Wind speed prediction; Wind turbine control; Control system; Wind velocity; Review; Wind generator; Component; Monitoring
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2013.07.051

Recent developments in wind energy research including wind speed prediction, wind turbine control, operations of hybrid power systems, as well as condition monitoring and fault detection are surveyed. Approaches based on statistics, physics, and data mining for wind speed prediction at different time scales are reviewed. Comparative analysis of prediction results reported in the literature is presented. Studies of classical and intelligent control of wind turbines involving different objectives and strategies are reported. Models for planning operations of different hybrid power systems including wind generation for various objectives are addressed. Methodologies for condition monitoring and fault detection are discussed. Future research directions in wind energy are proposed. •Models and methods applied in wind energy are discussed.•Typology of research models is developed.•Control, condition, and performance monitoring of wind turbine components are highlighted.•Future research directions are outlined.