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Quantitative description method of wind speed intermittent based on fan start-stop frequency per unit time

A unit time, intermittent technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problems of staying in qualitative description and no quantitative description of wind speed, etc., to achieve the effect of avoiding impact, strong intermittent, and prolonging service life

Active Publication Date: 2017-06-06
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a quantitative description method of wind speed intermittency based on the start-stop frequency of fan per unit time, so as to solve the problem that the current research on wind speed intermittency only stays in qualitative description, and there is no quantitative description of wind speed intermittency

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  • Quantitative description method of wind speed intermittent based on fan start-stop frequency per unit time
  • Quantitative description method of wind speed intermittent based on fan start-stop frequency per unit time
  • Quantitative description method of wind speed intermittent based on fan start-stop frequency per unit time

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specific Embodiment approach 1

[0025] Specific implementation mode one: the following combination figure 1 To illustrate this embodiment, a wind speed intermittent quantitative characterization method based on fan start-stop frequency per unit time described in this embodiment includes the following steps:

[0026] Step 1. Propose a new parameter: fan start-stop frequency per unit time to quantitatively describe the intermittence of wind speed; based on the historical wind speed data of fan, count the time series of fan start-stop frequency per unit time to quantitatively describe the intermittency of wind speed ;

[0027] Step 2. On the basis of step 1, analyze the predictability of the time series of fan start-stop frequency per unit time through the autocorrelation analysis method;

[0028] On the basis of Step 3 and Step 2, the support vector machine regression is used to establish a forecast model to forecast the start-stop frequency of the fan per unit time, and to quantitatively describe the intermi...

specific Embodiment approach 2

[0029] Specific implementation mode two: the following combination figure 2 , image 3 , Figure 4 , Figure 5 , Image 6 Describe this embodiment, the difference between this embodiment and the specific embodiment one is: the specific process of the time series of counting the start-stop frequency of the fan per unit time described in step one is:

[0030] Quantitatively describe the parameters of wind speed intermittency, that is, the proposal and definition of the fan start-stop frequency per unit time.

[0031] Wind is a process of rapid and continuous change. It is difficult to directly use wind speed data to reflect the intermittence of wind speed. It is possible to find a slowly changing parameter related to wind speed data to quantitatively describe the intermittence of wind speed. Wind is the energy source for driving the fan. There is a cut-in wind speed and a cut-out wind speed for the fan. When the wind speed is lower than the cut-in wind speed of the fan, the...

specific Embodiment approach 3

[0038] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that the specific process of analyzing the predictability of the time series of fan start-stop frequency per unit time through the autocorrelation analysis method described in step 2 is:

[0039] Using the Pearson autocorrelation function method, set {x t} t＝1:n is a random time series, then measure x t Instead of delaying samples x by k steps t+k The autocorrelation coefficient of is defined as the covariance of the samples, namely:

[0040]

[0041] The autocorrelation function is defined as:

[0042]

[0043] The random time series {x in formula (1) t} t＝1:n Replace it with the time series of the actual fan start-stop frequency per unit time, and according to the definition of the autocorrelation function, perform autocorrelation function calculation on the fan start-stop frequency time series obtained in step 1, k is the delay step during calculation , n is the length of the fa...

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Abstract

The invention discloses a wind speed intermittency quantitative depicting method based on the turbine unit time starting-stopping frequency, and belongs to the technical field of wind power prediction. The wind speed intermittency quantitative depicting method solves the problems that research on the wind speed intermittency only stays in the qualitative description stage at present, and quantitative description of the wind speed intermittency does not exist. The wind speed intermittency quantitative depicting method is characterized by including the steps of based on turbine history wind speed data, counting a time series of the turbine unit time starting-stopping frequency; analyzing the predictability of the time series of the turbine unit time starting-stopping frequency with a self-correlation analysis method; building a prediction model in a regression mode through a support vector machine, predicting the turbine unit time starting-stopping frequency, and quantitatively depicting the future wind speed intermittency. The wind speed intermittency quantitative depicting method belongs to the technical field of the wind power prediction. It is firstly proposed that the wind speed intermittency is quantitatively predicted through the parameter of the turbine unit time starting-stopping frequency, and more detailed wind power prediction information is provided for an electric system.

Description

technical field [0001] The invention relates to a quantitative description method of wind speed intermittency, in particular to a quantitative description method of wind speed intermittent based on fan start-stop frequency per unit time, and belongs to the technical field of wind power forecasting. Background technique [0002] With the rapid development of modern industry, human beings are facing the plight of depletion of energy resources and increasingly serious environmental pollution. For this reason, countries all over the world are actively adjusting the energy industry structure and vigorously developing renewable energy, such as solar energy, biomass energy, wind energy, geothermal energy, etc., to alleviate the above problems. Wind energy is considered to be the most promising new energy technology in the world because of its clean and inexhaustible characteristics. The development and utilization of wind energy has become an important strategic decision for sustai...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 万杰任国瑞马骁刘晨光马国林赵志刚刘鑫刘金福郭钰锋于达仁
Owner HARBIN INST OF TECH
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