A wide-scale system that measures electrical power generated in wind power plants, makes automatic estimations about the future electrical power generations of such plants through machine-learning/data mining methods and monitors actual production values and forecasts
Product Properties:
- Collection of real-time and continuous power and power quality data from power plants
- Data collection from the sensors of wind observation stations in power plant sites
- Collection of turbine status data from power plant SCADA systems
- Automatic and continuous retrieval of forecasts generated by the ALARO digital weather forecast model from the General Directorate of Meteorology
- Automatic and continuous retrieval of forecasts generated by the GFS and IFS digital weather forecast models from international organizations
- Making weather forecasts by WRF digital weather forecast model
- Very short-term (up to 6 hours) power estimation with methods like AR and ARX
- Short-term (48-hour) power estimation by making use of physical, machine-learning/data-mining methods (artificial neural networks, support vector machines)
- Short-term power estimation by hybrid methods combining
- Storing of all measurement and forecast data in a central database
- User interface software of the system allows:
- Real-time monitoring of measurement and forecast data
- Querying historical measurement and forecast data and creating reports automatically
Usage Area:
General Directorate of Renewable Energy, Wind Power Plants