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A wind power forecasting method considering wind turbine operating conditions

A technology for wind power forecasting and wind turbines, applied in forecasting, neural learning methods, complex mathematical operations, etc., can solve the problems of inaccurate wind power forecasting and low precision, and reduce the calculation scale and amount of calculation, reduce the amount of input, The effect of reducing the impact

Active Publication Date: 2019-01-04
GUIZHOU POWER GRID CO LTD
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a wind power prediction method considering the operating conditions of wind turbines to solve the problems of inaccurate wind power prediction and low precision in wind power prediction in the prior art

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  • A wind power forecasting method considering wind turbine operating conditions
  • A wind power forecasting method considering wind turbine operating conditions
  • A wind power forecasting method considering wind turbine operating conditions

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Embodiment Construction

[0036] The present invention proposes a wind power prediction method considering the operating conditions of wind turbines, which mainly includes the following steps:

[0037] S1: Obtain the basic data, historical data and weather data of the forecast day of the wind farm;

[0038] (1) The basic data of the wind farm mainly includes: the number of wind turbines in the wind farm, the number of the wind turbines and their corresponding position coordinates;

[0039] (2) The historical data of wind farms mainly include historical meteorological data, historical operation data and historical power data;

[0040] Among them, the historical meteorological data includes the wind speed, wind direction, temperature, humidity, and air pressure of the area where each wind turbine is located, and the time resolution is 15 minutes; the historical operation data includes the historical start-up capacity and the corresponding number of the start-up wind turbine;

[0041] (3) The obtained fo...

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Abstract

The invention discloses a wind power forecasting method considering the operation condition of a wind turbine generator system, which comprises the following steps of: acquiring wind farm basic data,historical data and forecasting day data; normalizing the historical meteorological data of the wind farm to form a meteorological model vector initial training sample library; the meteorological model vector Ek of the wind farm at the kth time of the forecast day being normalized and recorded as Fk; the initial training sample library of meteorological model vector being screened; constructing BPNeural Network Power Forecasting Model Final Training Sample lambda k; training a BP Neural Network Power Forecasting Model with a Final Training Sample; Fk being inputted to the trained model, and the power prediction value Pk at the kth time of the prediction day being obtained. The problems of inaccurate wind power prediction and low precision caused by different geo-meteorological conditionsof wind turbines in mountainous wind farms on the plateau are solved.

Description

technical field [0001] The invention relates to a wind power prediction method considering the operating conditions of a wind power unit, and belongs to the technical field of wind power generation. Background technique [0002] In recent years, with the rapid development of my country's wind power industry, especially in some western plateau mountainous areas, such as Yunnan, Guizhou, and western Sichuan, although they are generally poor in wind energy resources, the local topographical advantages make wind energy resources in some areas have certain Development value, more and more plateau mountainous wind farms are put into operation, so wind power prediction is very necessary. [0003] Most of the existing short-term power forecasts of wind farms are based on weather forecast data and various information provided by wind farm wind towers, and the predicted power of a single wind turbine is calculated according to the wind turbine power curve, and then the wake effect betw...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/08G06F17/18
CPCG06F17/18G06N3/084G06Q10/04G06Q50/06Y02A90/10
Inventor 文贤馗范强林呈辉徐长宝桂军国吕黔苏徐梅梅顾威徐玉韬龙秋风
Owner GUIZHOU POWER GRID CO LTD
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