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Identification of Control Signals for Optimal Control of Small-Scale Wind Turbines (Paper)
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| Author(s) |
Mahinsasa Narayana; Ghanim Putrus; Steve McDonald |
| 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. |
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| Filename: | Unnamed file |
| Filesize: | 155.5 KB |
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| Type |
Members Only |
| Date |
Last modified 2010-05-06 by System |
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