Authors:
Qing-Guo Wang
;
Zhen Ye
and
Lihong Idris Lim
Affiliation:
National University of Singapore, Singapore
Keyword(s):
Real-time wind forecast, Partial differential equations, MM5, Kalman filter.
Related
Ontology
Subjects/Areas/Topics:
Environmental Monitoring and Control
;
Informatics in Control, Automation and Robotics
;
Information-Based Models for Control
;
Real-Time Systems Control
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In wind energy industry, it is well known that real-time wind forecast can improve the performance of wind turbines if the prediction information is well used to compensate the uncertainty of the wind. Unfortunately, neither model nor method is available to give a real-time forecast of wind so far. This paper proposed a real-time wind forecast model by simplifying existing weather forecast model, MM5. Details on model simplification, forecast error correction as well as other issues like boundary conditions and simulations are also discussed.