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| Content Provider | IET Digital Library |
|---|---|
| Author | Llano, Danilo Xavier Mahon, Richard Anthony Mc |
| Abstract | This study presents the modelling, control and sensorless speed estimation of two micro-wind turbines deployed by the British Antarctic Survey (BAS) in Antarctica. Mathematical models for the generators attached to an Ampair 100 and Rutland 913 wind turbines and their experimental validation are given. A model for the wind turbines, particularly taking into account the power coefficient C p versus tip speed ratio λ relationship, was proposed and successfully evaluated on a wind turbine emulator test rig. This study describes an analogue speed estimator board and a Kalman filter for estimating the shaft speed. These estimators use only DC-side measurements to match the characteristics of the current version of the turbine control board. The wind turbine control and speed estimators were tested on the emulator test rig using real wind data from BAS research bases in Antarctica. Using only DC-side measurements leads to low computation requirements to execute the algorithms in comparison with commonly used schemes that rely on AC measurements. The estimation algorithms are based on the model of a permanent magnet generator connected to a diode rectifier, as they can be used in a wider range of applications including DC–DC converters with maximum power point tracking algorithms. |
| Starting Page | 342 |
| Ending Page | 350 |
| Page Count | 9 |
| ISSN | 17521416 |
| Volume Number | 12 |
| e-ISSN | 17521424 |
| Issue Number | Issue 3, Feb (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/12/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0528 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2017-11-16 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Ampair 100 Analogue Speed Estimator Board Antarctica British Antarctic Survey Control of Electric Power System DC–DC Converter Diode Rectifier Kalman Filter Mathematical Analysis Mathematical Model Maximum Power Point Trackers Maximum Power Point Tracking Algorithm Micro-wind Turbines Permanent Magnet Generator Power System Control Power System Simulation Rutland 913 Wind Turbines Sensorless Speed Estimation Wind Power Plant Wind Turbine Wind Turbine Emulator Test Rig |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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