SYSTEMS AND METHODS FOR WIND FORECASTING AND GRID MANAGEMENT
First Claim
1. A wind power ramp event nowcasting system comprising:
- a wind condition analyzer for detecting a wind power ramp signal;
a sensor array, situated in an area relative to a wind farm, the sensor array providing data to the wind condition analyzer;
a physical numerical model;
a neural network pattern recognizer; and
a statistical forecast model, wherein the statistical model receives input from the wind condition analyzer, the physical numerical model, and the neural network pattern recognizer; and
the statistical forecast model outputs a time and duration for the wind power ramp event (WPRE) for the wind farm.
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Abstract
In one embodiment, a wind power ramp event nowcasting system includes a wind condition analyzer for detecting a wind power ramp signal; a sensor array, situated in an area relative to a wind farm, the sensor array providing data to the wind condition analyzer; a mesoscale numerical model; a neural network pattern recognizer; and a statistical forecast model, wherein the statistical model receives input from the wind condition analyzer, the mesoscale numerical model, and the neural network pattern recognizer; and the statistical forecast model outputs a time and duration for the wind power ramp event (WPRE) for the wind farm.
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Citations
21 Claims
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1. A wind power ramp event nowcasting system comprising:
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a wind condition analyzer for detecting a wind power ramp signal; a sensor array, situated in an area relative to a wind farm, the sensor array providing data to the wind condition analyzer; a physical numerical model; a neural network pattern recognizer; and a statistical forecast model, wherein the statistical model receives input from the wind condition analyzer, the physical numerical model, and the neural network pattern recognizer; and
the statistical forecast model outputs a time and duration for the wind power ramp event (WPRE) for the wind farm. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A wind forecasting system comprising:
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a wind condition analyzer for detecting a wind event signal; a sensor array situated in an area, the sensor array providing data to the wind condition analyzer; a mesoscale numerical model; a neural network pattern recognizer; and a statistical forecast model, wherein the statistical model receives input from the wind condition analyzer, the mesoscale numerical model, and the neural network pattern recognizer, and the statistical forecast model outputs a wind event for the area. - View Dependent Claims (14, 15, 16)
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17. A graphical user interface system for managing a wind farm, the system comprising:
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(a) a wind power ramp event (WPRE) prediction window, showing predicted wind and WPRE events; (b) an Atmospheric Observation Network (AON) monitoring window, showing the AON network and the wind farm; (c) a ramp event message window showing ramp event alerts; (d) a ramp event classification screen, providing for classification of ramp events; and (e) a history window, providing a history of past events and wind generation statistics.
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18. A method of providing a wind event forecast, the method comprising:
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(a) detecting a footprint of a wind event that will occur in the future for an area of interest with a first module; (b) determining a duration and intensity of the wind event with a second module; and (c) providing the wind event forecast. - View Dependent Claims (19, 20, 21)
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Specification