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Long-term power load prediction method based on residual correction grey prediction model

A residual error correction and power load technology, applied in the field of power system load forecasting, can solve problems such as poor anti-interference ability, achieve high fitting and forecasting accuracy, and improve adaptability and flexibility.

Inactive Publication Date: 2019-08-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] Aiming at the problem of poor anti-interference ability of the original gray model, the present invention proposes a long-term power load forecasting method based on the residual modified gray forecasting model, and applies the linear time-varying parameter discrete gray model TDGM(1,1) to the long-term power load forecasting method. In load forecasting, the linear time-varying parameter discrete gray model TDGM(1,1) not only has the properties of coincidence of white exponent law and consistency of stretching transformation, but also has the property of coincidence of linear law, thus overcoming the original discrete gray model DGM. (1,1) The problem of constant growth rate of analog value

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[0035] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0036] The present invention proposes a gray prediction model based on Fourier series residual correction, and applies the linear time-varying parameter discrete gray model TDGM(1,1) to long-term power load forecasting, and utilizes the Fourier series residual The difference correction method is used to improve the original model. Specifically, the Fourier series method is used to extract the corresponding period information, and the exponential rate of power change is optimized, so that the corrected model has higher fitting and prediction accuracy. Improve the adaptability and flexibility of the gray forecasting model.

[0037] Such as figure 1 Shown, the long-term power load forecasting method based on Fourier series residual correction TDGM ...

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Abstract

The invention discloses a long-term power load prediction method based on a residual correction grey prediction model, which is applied to the technical field of power system load prediction, and aimsto solve the problems of enhanced volatility along with load change and poor fitting and prediction effects of an existing grey prediction model. Under the condition that the power load sequence of the previous n years is acquired, the power load value of the (n + 1) th year is predicted by using a linear time-varying parameter discrete grey TDGM (1, 1) model, then an original prediction model iscorrected by using a Fourier series residual correction method, and finally, a corrected analog value and a corrected predicted value are obtained; the corrected TDGM (1, 1) model has higher fittingand prediction precision, and the adaptability and flexibility of the grey prediction model are improved.

Description

technical field [0001] The invention belongs to the field of power system load forecasting, in particular to a long-term power load forecasting technology. Background technique [0002] Long-term power load forecasting is the basis of power grid planning. Accurate load forecasting plays an extremely important role in making new plans for power plants, determining the size of installed capacity, and ensuring the safety and stable operation of the power grid. Generally speaking, the change of long-term power load has an increasing trend year by year, and the gray forecasting model can better fit the long-term power consumption in exponential form, so the gray forecasting method is an effective method for predicting long-term power load; but the long-term power The change of load also has a certain degree of randomness and volatility, and the electricity does not increase year by year according to the absolute exponential law. If the gray forecasting model is not corrected and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 李昌海滕云龙井实黄琦刘影
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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