Systems and methods for wind forecasting and grid management
First Claim
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1. A wind power ramp event nowcasting system comprising:
- a server including;
a wind condition analyzer for detecting a wind power ramp signal;
a physical numerical model, wherein the physical numerical model is a mesoscale numerical model;
a neural network pattern recognizer; and
a statistical forecast model, wherein the statistical forecast 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; and
a sensor array situated in an area relative to a wind farm, the sensor array providing data to the wind condition analyzer.
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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.
21 Citations
19 Claims
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1. A wind power ramp event nowcasting system comprising:
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a server including; a wind condition analyzer for detecting a wind power ramp signal; a physical numerical model, wherein the physical numerical model is a mesoscale numerical model; a neural network pattern recognizer; and a statistical forecast model, wherein the statistical forecast 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; anda sensor array situated in an area relative to a wind farm, the sensor array providing data to the wind condition analyzer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A wind forecasting system comprising:
a server including; a wind condition analyzer for detecting a wind power ramp event signal; a mesoscale numerical model; a neural network pattern recognizer, wherein the neural network pattern recognizer is trained by providing it teaching patterns, and the neural network pattern recognizer changes according to a learning rule; a statistical forecast model, wherein the statistical forecast 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 power ramp event for the area; and a sensor array situated in an area, the sensor array providing data to the wind condition analyzer. - View Dependent Claims (13, 14)
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15. A graphical user interface system for managing a wind farm, the system comprising a server configured to:
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detect a footprint of a wind event that will occur in the future for an area of interest with a first module; determine a duration and intensity of the wind event with a second module; and determine a predicted wind and wind power ramp event; wherein the server further provides a; (a) a wind power ramp event prediction window, showing the predicted wind and wind power ramp events; (b) an Atmospheric Observation Network monitoring window, showing the Atmospheric Observation 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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16. 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 (17, 18, 19)
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Specification