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Power system load clustering method based on fuzzy c-means algorithm

A power system, mean clustering technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of reduced simulation accuracy and reliability

Inactive Publication Date: 2015-01-07
STATE GRID CORP OF CHINA +2
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Problems solved by technology

This rough load model greatly reduces the accuracy and reliability of the simulation, and even draws diametrically opposite conclusions in critical cases

Method used

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  • Power system load clustering method based on fuzzy c-means algorithm
  • Power system load clustering method based on fuzzy c-means algorithm
  • Power system load clustering method based on fuzzy c-means algorithm

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Embodiment Construction

[0040] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0041] figure 1 It is a research idea of ​​load clustering method of power system based on fuzzy C-means. figure 1 Among them, the power system load clustering method based on fuzzy C-means provided by the present invention includes:

[0042] Step 1: Determine the statistical comprehensive modeling theory based on load composition

[0043] The statistical comprehensive modeling theory based on load composition is based on the investigation and statistics of the composition of typical consumer electrical equipment, such as figure 2 Shown: By classifying the comprehensive load according to industry characteristics, the load composition and load characteristics of the same industry users in different bus power supply ...

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Abstract

The invention discloses a power system load clustering method based on a fuzzy c-means algorithm. The power system load clustering method includes determining a statistics comprehensive molding theory based on a load structure; researching one of the clustering issues in load modeling: primary selection and refined selection of industrial users; researching another of the clustering issues in load modeling: classification and synthesis of comprehensive load static characteristics of a transformer substation; researching and determining the power system load clustering method based on the fuzzy c-means algorithm. Specific steps are subject to the abstract attached drawings. The power system load clustering method solves the problem of load clustering in load modeling of a power system and is an effective method for load clustering.

Description

technical field [0001] The invention belongs to the technical field of power system load clustering, in particular to a power system load clustering method based on fuzzy C-means. Background technique [0002] Load modeling is the basis of power system simulation, but the study of load models is difficult due to its own randomness, dispersion, diversity, and discontinuity. Theoretical and model research has been in a relatively lagging state. Take an idealized model that is the ZIP model. This rough load model greatly reduces the accuracy and reliability of the simulation, and even draws diametrically opposite conclusions in critical situations. [0003] The statistical comprehensive modeling theory based on load composition is a more practical modeling method. It is based on the investigation and statistics of the composition of electrical equipment of typical users, and after obtaining the comprehensive characteristics of the industry users, according to the industry comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 刘福潮王建波王维洲姜希伟郑晶晶郭鹏杜培东付熙玮张建华夏鹏韩永军李亚龙蔡万通刘文颖
Owner STATE GRID CORP OF CHINA
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