Identification of control signals for optimal control of small-scale wind turbines

Narayana, Mahinsasa, Putrus, Ghanim and McDonald, Stephen (2010) Identification of control signals for optimal control of small-scale wind turbines. In: WECS 2010 (Wind Energy Chapter Symposium), 15th - 16th April 2010, Stafford, UK.

Full text not available from this repository. (Request a copy)

Abstract

Perturbation & observation hill-climbing searching method is used for wind speed sensor-less optimal controlling of wind turbines. Aerodynamic power and system losses are required to identify the reference control signal. Wind turbine output power is interlaced with the rate of change of mechanically stored energy due to momentum of inertia of rotating parts. Therefore, reference control point is difficult to accurately evaluate from the electrical power output. Generally, in small scale wind turbines, only DC voltage and current are the accessible signals for optimal controlling. In this paper, adaptive digital filters are introduced to identify possible control signals from generator outputs time series data by eradicating the variation of mechanically stored energy and power losses in the system.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Adaptive filtering; Hill-climbing method; Maximum power point; Variable-speed wind turbines;
Subjects:	H300 Mechanical Engineering
Department:	Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User:	Becky Skoyles
Date Deposited:	15 Jan 2015 11:45
Last Modified:	13 Oct 2019 00:30
URI:	http://nrl.northumbria.ac.uk/id/eprint/20957

Downloads