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Method for analyzing influence correlation of multiple meteorological factors and load changes

A technology of meteorological factors and load changes, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of inability to accurately determine the degree of influence of meteorological factors on load, low efficiency, and inability to improve load characteristics and supply and demand Contradictions and other issues

Inactive Publication Date: 2016-07-20
国网甘肃省电力公司武威供电公司 +1
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Problems solved by technology

[0003] Meteorology, as a very important factor affecting load changes, has attracted more and more attention. However, at present, the meteorological influence is added to the load characteristics artificially, so that it is impossible to accurately determine the degree of influence of meteorological factors on the load, thus Unable to improve the load characteristics and the contradiction between supply and demand, and requires a lot of manual operation, and the efficiency is not high

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  • Method for analyzing influence correlation of multiple meteorological factors and load changes
  • Method for analyzing influence correlation of multiple meteorological factors and load changes
  • Method for analyzing influence correlation of multiple meteorological factors and load changes

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Embodiment Construction

[0015] Such as figure 1 As shown, the analysis method of the correlation of multivariate meteorological factors to load changes, the method includes the following steps:

[0016] (1) Select meteorological factors;

[0017] (2) Using the fuzzy C-means method to analyze the load data;

[0018] (3) Select the typical load data curve;

[0019] (4) Build a model to analyze the correlation between meteorological factors and load changes;

[0020] (5) Carry out correlation goodness of fit test;

[0021] (6) Carry out F test;

[0022] (7) Obtain the correlation coefficient between meteorological factors and load changes.

[0023] This method adopts the fuzzy C-means method to analyze the load data, selects typical load curves, establishes a model to analyze the correlation between meteorological factors and load changes, and then performs the correlation goodness of fit test and F test to finally obtain the correlation coefficient. Therefore, it is possible to accurately determi...

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Abstract

The invention discloses a method for analyzing influence correlation of multiple meteorological factors and load changes.By means of the method, the influencing degree of the meteorological factors to a load can be accurately determined, therefore, the load characteristics are effectively improved, the contradiction between supply and demand is effectively relieved, manual operation is not needed basically, and the work efficiency is greatly improved.The method comprises the steps that 1, the meteorological factors are selected; 2, load data is analyzed by means of a fuzzy C-means method; 3, a typical load data curve is selected; 4, a model is built to analyze the correlation of the meteorological factors and the load changes; 5, a correlation goodness-of-fit test is conducted; 6, an F test is conducted; 7, a correlation coefficient of the meteorological factors and the load changes is obtained.

Description

technical field [0001] The invention relates to the technical field of load control on the demand side in an electric power system, in particular to an analysis method for the correlation of influences of multiple meteorological factors on load changes. Background technique [0002] Demand-side control in power systems imposes strict requirements on the analysis of load characteristics. The investigation and analysis of load characteristics, as a basic work of power market analysis, is very important for the operation control and load forecasting of power companies. Through the analysis of load characteristics, it is helpful for power companies to deepen their understanding of the load characteristics of the power system and predict the law of load development characteristics, so as to implement powerful demand-side control measures, improve load characteristics and supply-demand contradictions, and improve system operation reliability and economy. It provides decision-maki...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 窦武薛远天和建军王蕊
Owner 国网甘肃省电力公司武威供电公司
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