34 results about "Wind forecast" patented technology

A power generation system including a wind turbine generator for generating electrical power, an alternate power source, and a processor programmed to control operation of the alternate power source to control a power output of the alternate power source at least partially based on at least one of a wind parameter, a wind forecast, a wind turbine condition sensor, and a power output of the electrical generator.

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 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.

A method for feeding electrical energy into an electrical supply grid by means of a wind turbine or wind farm, where the wind turbine or wind farm converts kinetic energy from wind with variable speed to electrical energy, a wind speed is predicted based on a wind forecast and a reactive power to be fed in is calculated as predicted reactive power based on the predicted wind speed.

The invention discloses a method for improving reliability of a wind prediction system by use of a double-redundancy mode. The method comprises: two wind power prediction systems are arranged in a station; two wind measuring towers are arranged at the place of a wind power plant, each wind measuring tower is provided with two measuring devices, and thus data redundancy is realized. The invention further provides a system for improving reliability of a wind prediction system by use of a double-redundancy mode. The system comprises twp wind power predication systems and two wind measuring towers, wherein each wind measuring tower is provided with two measuring devices. According to the invention, through arrangement of double-redundancy wind measuring tower equipment and internal and external network servers in double-redundancy configuration, timely acquisition and transmission of acquisition data and sending data are guaranteed, at the same time, the stability and safety of a transmission line are ensured, the stability, the accuracy and the uploading rate of uploading data are finally improved; predication data can be manually modified; and an alarm function is exhibited, an early warming can be timely given, and property loss can be avoided.

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 present invention provides a method for forecasting instantaneous wind conditions in mountainous areas based on computational fluid dynamics and machine learning. Real-time transient wind forecast data. The real-time transient wind data forecast model is established through the following steps: establish a digital geometric model of the wind field in the mountainous area to be forecast; use computational fluid dynamics method to perform numerical calculations of all wind directions and full wind speeds on the digital geometric model of the wind field in the mountainous area, and establish a wind field in the mountainous area. The wind environment simulation database of the field; the simulated wind data of the measured points and the points to be predicted are extracted; the real-time transient wind data forecast model is established through machine learning. The above-mentioned technical solution utilizes the ability of computational fluid dynamics simulation technology to finely capture complex wind conditions in three-dimensional space, and the ability of machine learning algorithms to reconstruct high-dimensional data matrices; it has more refined spatial forecasting capabilities and more accurate forecasting accuracy.

The invention discloses a linear tower transmission line wind deflection discharge probability online early-warning method giving consideration to impact from wind randomness, and the method comprises the steps: building a suspension insulator string wind deflection angle calculation model giving consideration to conductor splitting; calculating the discharge distance of a power transmission line to a linear tower shaped like a wine glass; carrying out the statistics of historical forecast information, comparing the historical forecast information with the actual wind scale of the corresponding historical period, calculating the weak rate, accuracy and strong rate of a forecast wind speed, and the anticlockwise deviation ratio, accuracy and clockwise deviation ratio of a forecast wind direction, and building a forecast wind speed and forecast direction probability distribution model giving consideration to impact from wind randomness; calculating the wind deflection discharge probability of a linear tower transmission line. According to the invention, the method provided by the invention achieves the online prediction of the wind deflection discharge probability of the wind-glass-shaped linear tower transmission line after the wind forecast information is obtained, brings convenience to a power grid operation and scheduling department to know the operation risks of the line in advance, and makes the targeted operation measures for risk reduction.

The invention belongs to the field of meteorological forecasting, specifically a method for forecasting strong winds in special terrain; Step 1: Select the location interval that needs to be forecasted for strong winds; Step 2: Establish a numerical forecast site; Extract the corresponding values ​​under the variables of different heights and times The wind speed forecast value in the forecast station; Step 3: Through polynomial linear regression equation calculation, carry out secondary forecast to the corresponding wind speed; Step 4: Establish interval forecast station; Measure the start and end wind time and wind speed at the upstream interval forecast station; Step Five: Establish the wind speed equation of the upstream and downstream stations, and estimate the wind speed of the downstream interval forecast station to be measured; Step six: The estimated wind speed at the location obtained by the quadratic modeling method and the wind speed at the location obtained by the upstream and downstream index station method The predicted values ​​are combined to obtain an accurate strong wind forecast value for the location. The invention integrates the secondary modeling correction and the upstream and downstream index station method, effectively reducing the forecast error greatly.

The invention relates to an automatically corrected instant gale early warning method, which includes steps of acquiring movement direction and movement speed of a target cloud cluster when the targetcloud cluster is existed with a zone of which radar echo intensity value is more than or equal to 55dBZ, and the zone area is more than or equal to the preset area; acquiring modification value W ofmovement direction of the target cloud cluster, modification value K of landform, and wind speed experience value U0 of instant gale generated at 55dBZ; acquiring instant gale forecasted wind speed value S of a monitored point according to the maximum values P, W, K, U0 of the current echo intensity; sending the instant gale warning when the instant gale forecasting wind speed rate S is more thanthe early warning wind speed doorsill value, calculating time T0 of the target cloud cluster arrived at the monitoring point according to the distance between the target cloud cluster and the monitored point and the movement speed of the target cloud cluster; sending alarms at different grades to the monitored point according to the change of time T0.