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Harmonic duty quantitative allocation method based on statistical data correlation analysis

A technology of correlation analysis and statistical data, applied in the field of harmonic responsibility division, to achieve broad application prospects, good social and economic benefits, and easy collection effects

Inactive Publication Date: 2013-09-04
STATE GRID CORP OF CHINA +1
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Problems solved by technology

[0003] Throughout the research done by scientific and technological workers at home and abroad in the field of harmonic source identification, they mainly focus on distinguishing the influence of harmonic source load and system on the harmonic voltage distortion level at PCC (Point of Common Coupling), namely Evaluate the harmonic emission level of a single harmonic source, and there is very little information on the identification of multiple harmonic sources in the research system, but in the actual power system, the harmonic voltage at the PCC is often the joint action of multiple harmonic sources result

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  • Harmonic duty quantitative allocation method based on statistical data correlation analysis
  • Harmonic duty quantitative allocation method based on statistical data correlation analysis
  • Harmonic duty quantitative allocation method based on statistical data correlation analysis

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Embodiment Construction

[0022] The present invention is described in detail below in conjunction with accompanying drawing:

[0023] A method for quantitatively dividing harmonic responsibilities based on statistical data correlation analysis, comprising the following steps:

[0024] Step 1, data collection and preprocessing, install a power quality monitor at the main harmonic source load point, and collect the voltage and current signals of each feeder;

[0025] Step 2, selecting data based on the time series segmentation method;

[0026] Step 3, determine the harmonic responsibility index of harmonic source load i to the h order harmonic at PCC point X;

[0027] Step 4, obtain the harmonic responsibility index.

[0028] Such as figure 1 As shown, first assume that the voltage distortion at the PCC point X in the system is caused by the joint action of known n harmonic source loads, and the data collection is once every 3 seconds, with 6 cycles each time, and each The cycle collects 128 points....

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Abstract

The invention discloses a harmonic duty quantitative allocation method based on statistical data correlation analysis. The method comprises the following steps of 1, acquiring and pre-processing data, mounting an electric energy quality monitoring instrument at a main harmonic source load point, and acquiring the voltage signal and the current signal of each feeder line; 2, selecting the data on the basis of a time sequence segmentation method; 3, determining h-time harmonic duty indexes of a harmonic source load i to the X position; and 4, obtaining the harmonic duty indexes. According to the method, the correlation analysis method based on the statistical law is adopted, historical measured data of harmonic voltage and harmonic current is directly used, the data required by the method is easy to acquire, and all the data can be acquired by the ordinary electric energy quality monitoring instrument. The method can lay a theoretical foundation for harmonic duty quantitative allocation, harmonic government, harmonic reward and punishment implementation and the like in a multi-harmonic source system and has wide application prospect and good social and economic benefit.

Description

technical field [0001] The invention relates to a method for dividing harmonic responsibility, in particular to a method for quantitatively dividing harmonic responsibility based on statistical data correlation analysis. Background technique [0002] There are a large number of nonlinear loads in the grid, such as electric locomotives, electric arc furnaces, and converters in high-voltage and large-capacity DC transmission, etc. These nonlinear loads will bring harmonic problems to the grid. Distinguishing the harmonic emission levels of system-side and user-side nonlinear loads and assessing harmonic pollution responsibilities have attracted people's attention. Harmonics will reduce the reliability of the grid, increase the loss of the grid, and shorten the life of electrical equipment. The development direction of my country's power grid is to build a smart grid. Taking reasonable and effective measures to manage and control the harmonics in the grid is an important task ...

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Application Information

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IPC IPC(8): G01R23/16
Inventor 臧宏志李利生张宁李素雯赵艳张浩李菁竹
Owner STATE GRID CORP OF CHINA
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