Device and method for predicating fan load index of wind powder plant

Abstract

The invention discloses a device and a method for predicating a fan load index of a wind powder plant, which belong to the technical field of wind power generation. The method for predicating the fan load index of the wind powder plant adopts a control unit and a mathematical model, wherein the control unit comprises a sensor, a data acquisition chip, a central processing unit, an industrial personal computer and a wireless communication module. The predication comprises the following steps of: 1) establishing input amount; 2) forming a training sample set; 3) inputting an input sample data set into a least-square-method support vector machine model; 4) resolving the least-square-method support vector machine model; and 5) inputting the sample data set to obtain a load index of the wind power plant. The device and the method have the advantages that by realizing the fan state monitoring in a predication process and establishing the least-square-method support vector machine model, the prediction on the fan load index has high precision, high accuracy and high efficiency.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and in particular relates to a wind farm fan load index prediction device and method. Background technique [0002] At present, large-scale wind turbines are generally horizontal-axis wind turbines, which are composed of wind rotors, speed-increasing gearboxes, generators, yaw devices, control systems, towers and other components. The wind acts at a certain speed and angle of attack. On the blades, the blades are rotated to generate rotational torque, and the energy of the wind is converted into mechanical energy. The greater the wind, the greater the energy received by the wind wheel, and the faster the wind wheel turns. Converted into mechanical energy, it is composed of blades with excellent aerodynamic performance. The unit generally has 2-3 blades installed on the hub. The low-speed rotating wind wheel is accelerated by the speed-up gearbox through the transmission system, and ...

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Problems solved by technology

[0002] At present, large-scale wind turbines are generally horizontal-axis wind turbines, which are composed of wind rotors, speed-increasing gearboxes, generators, yaw devices, control systems, towers and other components. The wind acts at a certain speed and angle of attack. On the blades, the blades are rotated to generate rotational torque, and the energy of the wind is converted into mechanical energy. The greater the wind, the greater the energy received by the wind wheel, and the faster the wind wheel turns. Converted into mechanical energy, it is composed of blades with excellent aerodynamic performance. The unit generally has 2-3 blades installed on the hub. The low-speed rotating wind wheel is accelerated by the speed-up gearbox through the transmission system, and the power is transmitted to the generator. The above These components are all installed on the plane of the nacelle, and the whole nacelle is lifted by a tall frame. Because the wind direction changes frequently, when the wind turbine fails to balance the rotor, even if the wind force is strong enough, the fan will not turn. When the device fails, the fan cannot automatically stop. Due to the influence of meteorological conditions such as temperature and pressure on the fan, the fan cannot operate well and affects the power generation effect;

[0003]The power prediction of the wind farm is affected by various local weather and climate conditions, requiring the maximum output power of the wind turbine. This prediction method has a large error of

Because the state of the wind turbine is not considered in this case, there is no way to accurately predict the output power of wind power generation

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