Power grid operation state judgment method and system based on fuzzy clustering and RS-KNN model

A power grid operation, fuzzy clustering technology, applied in character and pattern recognition, data processing applications, instruments, etc., can solve the problems of not meeting the real-time requirements of power grid operation status judgment, ignoring data value, etc.

Inactive Publication Date: 2019-09-10
NORTHEAST DIANLI UNIVERSITY
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On the one hand, the value in the data is ignored; on the other hand, it cannot m

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  • Power grid operation state judgment method and system based on fuzzy clustering and RS-KNN model
  • Power grid operation state judgment method and system based on fuzzy clustering and RS-KNN model
  • Power grid operation state judgment method and system based on fuzzy clustering and RS-KNN model

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[0062] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0063] The embodiment of the present invention provides a method for discriminating the operating state of the power grid based on fuzzy clustering and RS-KNN model, including the following steps:

[0064] Step 1. Establishment of the RF-RFE-based power grid operation status identification index system

[0065] First, start with the basic principles of evaluation index system construction, and construct an initial variable set; use RF to calculate the importance of variables and sort them; then de...

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Abstract

The invention discloses a power grid operation state judgment method and system based on fuzzy clustering and RS-KNN model. The method comprises the following steps: Step 1: selecting a characteristicvariable for discriminating the operation state of the power grid; and Step 2: using a fuzzy clustering algorithm to divide the health state of the power grid operation into four types according to the health degree, which are respectively health, sub-health, general illness and serious illness. Before clustering, in order to eliminate the influence of the data dimension, a normalization method needs to be adopted to process the characteristic variable data of the power grid. Step 3: taking the characteristic variables obtained in the step 1 as input variables of a training set, taking data corresponding to the classified power grid operation states obtained in the step 2 is used as an input variable of a training set, and setting labels corresponding to the four power grid operation states, namely, the health state, the sub-health state, the general illness state and the serious illness state, output by the training set to be 1, 2, 3 and 4 respectively. Step 4: using the obtained four kinds of power grid operation state data to train RS-KNN model.

Description

technical field [0001] The invention relates to the field of power grid operating state discrimination, in particular to a method and system for judging the power grid operating state based on fuzzy clustering and RS-KNN model. Background technique [0002] Large-scale power outages in various countries have caused extremely serious economic losses and social impacts, which have sounded the alarm for the safe and stable operation of the power grid, and are crucial to the accurate and timely judgment of the operating status of the power grid. Aiming at the problems existing in the traditional power grid operation state discrimination method. On the one hand, the value in the data is ignored, and on the other hand, it cannot meet the real-time requirements for judging the operating status of the power grid. Contents of the invention [0003] In order to solve the above problems, the present invention provides a method and system for discriminating the operating state of the...

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Application Information

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IPC IPC(8): G06Q50/06G06K9/62
CPCG06Q50/06G06F18/214
Inventor 娄建楼时丹丹孟勃曲朝阳王蕾郭晓利
Owner NORTHEAST DIANLI UNIVERSITY
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