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

Mahinsasa Narayana, Ghanim Putrus, Stephen McDonald

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Publication statusPublished - Apr 2010
EventWECS 2010 (Wind Energy Chapter Symposium) - Stafford, UK
Duration: 1 Apr 2010 → …

Conference

ConferenceWECS 2010 (Wind Energy Chapter Symposium)
Period1/04/10 → …

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