33 results about "Wind forecast" patented technology

The present invention is concerned with an operation of a wind farm with a plurality of wind turbines in view of a dynamic frequency response. According to the invention, dynamic frequency support and power production for all wind turbines in a wind farm are handled concurrently in a single optimization step and taking into account wake effects within the wind farm as well as optional wind forecast information. The dynamic frequency support capability of the entire wind farm is planned in advance according to grid requirements and power system condition changes. While existing methods de-load wind turbines with a static percentage in order to supply additional power when needed, the proposed method incorporates the dynamic frequency support into the optimal operation system of wind farm.

Flight management systems and control methods for meeting a required time of arrival (RTA) with reduced fuel burn. The method can account for probabilistic wind forecast uncertainty in RTA calculations by reformulating the speed and thrust profile problem as a multi-stage stochastic program, using a wind forecast uncertainty model to generate scenario sets for the fuel optimization problem. The method can iteratively calculate a fuel-efficient advised air speed for achieving an RTA over a flight path with an arbitrary number of recourse points.

Methods for creating wind forecast uncertainty models applicable to a variety of routes through a given airspace, and for use with the flight management systems and control methods. An example wind forecast uncertainty model can be position-specific, data-driven and based on a Markov chain representing error values between historical wind speed data and forecasted wind speed data long a planned flight route or between an origin-destination pair.

The invention relates to a short-term forecasting method for high-resolution high-altitude wind, and belongs to the technical field of forecasting of high-resolution high-altitude wind in spaceflight meteorological support. Aiming at the requirements of forecasting and guaranteeing high-resolution high-altitude wind in spaceflight meteorological guarantee, 0.25-20km per 250m layered high-altitude wind forecasting is realized by utilizing an European mid-term numerical forecasting product and Beidou navigation wind measurement data through methods of WRF mode design, high-altitude wind mode product fusion, wind field probability distribution correction, statistical correction and the like. Through the method, layer-by-layer high-altitude wind forecasting can be realized, the accuracy of layer-by-layer high-altitude wind forecasting is improved, and the method is suitable for high-resolution high-altitude wind forecasting.

The invention relates to a wind power forecast method. The method is realized through the way that: taking time points of wind power forecasting as basic points; on the basis of standardization of historical data, taking meteorology of the basic points as core elements to perform proximity polymerization on historical meteorological records; performing decorrelation dimension reduction on the meteorological factors of the meteorological records in the polymerization to obtain independent factors; then building a function relationship from independent factor values to standardized values of the wind power according to the mapping relation of the regularization radial basis function network to realize wind power forecast. By adopting the wind power forecast method provided by the invention, not only can problems of high nonlinearity degree of the 'meteorological factors-wind power' mapping relation and large calculated amount, caused by complexity of the meteorological factors, of the conventional methods be solved, but also the problem of poor sensitivity of the conventional wind power forecast methods on fluctuation modes and ranges of the meteorological factors can be solved, so that the wind power forecast accuracy is improved and a high forecast speed is realized.

The invention belongs to the technical field of power system peak regulation, and in particular relates to a market transaction method for flexibly consuming and curtailing wind energy on the load side. Including calculating the proportion of low-valley wind power capacity in wind power installed capacity through load forecasting, start-up mode and incoming wind forecasting, and comparing the corresponding relationship between the low-valley wind power capacity of the power grid and the curtailed wind power, and obtaining the curtailed wind power for the next day through conversion; obtain local energy Satisfy the loads of flexible consumption of abandoned wind power; establish a model for each load to consume abandoned wind power during the low power consumption period; find the optimal time for each local load to consume the abandoned wind power during the low power consumption period, and superimpose the load power of each period, Obtain the function of the optimized electricity consumption and abandonment of wind; according to the newly obtained curve of electricity consumption and abandonment of wind, calculate the maximum consumption of electricity. The invention solves the problem that a large amount of abandoned wind cannot meet the requirement of peak shaving even after rational distribution of output on the power generation side, realizes flexible scheduling on the load side to absorb the abandoned wind power, and greatly improves the efficiency and economy of wind power generation.

The invention discloses a lightning-proof detector for testing wind direction, which relates to the field of astronomical science and technology. The lightning-proof detector for testing wind direction includes a detector body, the upper surface of the body is fixedly connected with a connecting rod, the upper surface of the connecting rod is fixedly connected with a wind vane support rod, and the middle front surface of the wind vane support rod is fixedly connected with a signal receiving The top of the wind vane support rod is slidably connected with a wind direction sliding sleeve, the side of the wind direction sliding sleeve corresponding to the wind vane support rod is respectively provided with ball grooves, and the bottom of the wind direction sliding sleeve of the wind vane support rod is fixedly connected with a sleeve. The lightning-proof detector for testing the wind direction, through the setting of the signal receiver, angle pointer, wind direction sliding sleeve, ball groove, ball, and trocar, can test the wind direction accurately and is convenient to use. If the wind direction level forecast is accurate in the busy harvest season , will greatly increase people's harvest, which is beneficial to people's increase in harvest, so that farmers can use it with confidence.

The technology relates to a distributed computing system and method for generating atmospheric wind forecasts. A distributed computing system for wind forecasting in a region of the atmosphere may include an analog ensemble distilling architecture, a processor, and a memory. The analog ensemble distilling architecture may include a learner configured to train a deep neural network using analog ensemble data and output a distilled analog ensemble capable of producing an improved forecast, a reservoir comprising a cache, a builder comprising a plurality of jobs configured to sample a plurality of slices of an analog ensemble function, and a corpus. The processor may be configured to apply an analog ensemble operator, generate overlapping forecast output files, and generate wind forecasts. The memory may be configured to store one or more components of the analog ensemble distilling architecture.

The invention belongs to the field of weather forecasting, and particularly relates to a special terrain strong wind forecasting method. The method comprises the steps of 1, selecting a place intervalneeding strong wind forecasting; 2, establishing a numerical forecasting station, extracting wind speed forecasting values in the corresponding numerical forecasting stations under the variables of different heights and time; 3, performing secondary forecasting on the corresponding wind speed through polynomial linear regression equation calculation; 4, establishing interval forecasting stations,and measuring the wind starting and stopping time and the wind speed at the upstream interval forecast station; 5, establishing a wind speed equation of upstream and downstream stations, and estimating the wind speed of the downstream interval forecast station to be measured; and 6, combining the wind speed estimated value of the place obtained by the quadratic modeling method with the wind speedestimated value of the place obtained by adopting the upstream and downstream index station method to obtain the accurate strong wind forecast value of the place. According to the method, secondary modeling correction is integrated with upstream and downstream index station methods, so that the forecasting error is effectively and greatly reduced.

A method for improving power production of a wind turbine includes obtaining, by a controller having one or more processors, wind forecast data of the wind turbine. The method also includes scheduling, by the controller, one or more health checks for one or more components of the wind turbine based, at least in part, on the wind forecast data. Moreover, the method includes implementing, via the controller, the one or more health checks based on the scheduling such that the one or more health checks are implemented during time periods having wind speeds below a predetermined threshold.

The invention relates to a multilayer wind direction and wind speed probability distribution calculation method for tower wind measurement, and belongs to the field of environmental wind field analysis. In order to obtain a multi-layer wind direction and wind speed distribution rule, by taking three-layer wind measurement data of 10 meters, 50 meters and 90 meters of an anemometer tower as an example, a wind direction is fitted by using mixed von mises distribution, a wind speed is fitted by using gamma distribution, and then a layer-by-layer wind direction and wind speed joint probability is obtained according to wind direction and wind speed correlation. Finally, a multilayer wind direction and wind speed probability distribution model of the anemometer tower is established through matpllolib three-dimensional drawing. According to the method, the multilayer wind distribution rule can be scientifically known, the method is suitable for wind energy resource evaluation and engineering structure design, and a foundation can be provided for shallow wind forecast.

The invention relates to the technical field of power grid strong wind early warning, and discloses a power grid strong wind safety early warning management and control method and system, and the method comprises the steps of obtaining a strong wind prediction data set of a region where power grid equipment is located in set time; rendering each strong wind forecast data according to the wind speed grade, and superposing and correlating the strong wind forecast data with the power grid equipment geographic information graph to obtain a superposing and correlating graph layer; and determining corresponding line tower strong wind early warning information according to the superposition association layer and the geographic information of each line tower. According to the invention, the geographic information of each line tower is combined with the strong wind forecast data of the corresponding area to generate the line tower strong wind early warning information meeting the actual situation, so that the line tower strong wind early warning precision is effectively improved, accurate early warning support is provided for operation and maintenance personnel, and normal operation of a power grid is ensured.