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Power equipment state identification method based on multi-scale permutation entropy algorithm

A technology for power equipment and state recognition, applied in computing, data processing applications, forecasting, etc., can solve problems that affect the normal operation of the power system, abnormal power system equipment, etc., and achieve the effect of improving recognition accuracy and recognition efficiency

Pending Publication Date: 2022-04-01
HUANENG CARBON ASSETS MANAGEMENT CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Power system equipment will be disturbed by various external factors during operation, which will cause abnormalities in power system equipment and even affect the normal operation of the entire power system

Method used

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  • Power equipment state identification method based on multi-scale permutation entropy algorithm
  • Power equipment state identification method based on multi-scale permutation entropy algorithm
  • Power equipment state identification method based on multi-scale permutation entropy algorithm

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] refer to figure 1 , which is the first embodiment of the present invention, this embodiment provides a method for identifying the state of electric equipment based on the multi-scale permutation entropy algorithm, including:

[0045] S1: Analyze the operating state parameters of the electric equipment, and generate the cross-combined distributed feature quantities of the electric equipment according to the operating state parameters;

[0046] Taking the power grid strength and control parameters of electric equipment as constraint parameters, that is:

[0047] 2 -λt <ε

[0048] Under the constraints of parameter distribution intensity and control parameters of different power equipment, the distribution sequence x(t) of virtual synchronous control characteristic information of power equipment is obtained:

[0049]

[0050] In the synchronous rotating coordinate system, the monitoring state function h(t) of the power equipment is obtained based on the distribution ...

Embodiment 2

[0088] In order to verify and explain the technical effect adopted in this method, this embodiment selects the permutation entropy algorithm, the Pettitt method and this method for comparative testing, and compares the test results by means of scientific demonstration to verify the real effect of this method.

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Abstract

The invention discloses a power equipment state identification method based on a multi-scale permutation entropy algorithm, and the method comprises the steps: analyzing the operation state parameters of power equipment, and generating the cross combination distributed characteristic quantity of the power equipment according to the operation state parameters; identifying state parameters of the power equipment according to the cross combination distributed characteristic quantity of the power equipment; and performing feature extraction on the state parameters of the power equipment, analyzing the extracted features based on a multi-scale permutation entropy algorithm, identifying the state of the power equipment, and calculating reliability parameter distribution of state monitoring of the power equipment. According to the method, the multi-scale permutation entropy algorithm is optimized, so that the multi-scale operation state information of the complex power system is analyzed and recognized, and the state recognition precision and recognition efficiency of the power equipment are effectively improved.

Description

technical field [0001] The invention relates to the technical field of state identification of electric equipment, in particular to a state identification method of electric equipment based on a multi-scale permutation entropy algorithm. Background technique [0002] As the basic elements of the power system, power system equipment has a direct impact on the safe and economical operation of the power grid. With the continuous expansion of the scale of the power system, there are more and more power system equipment, and the operating conditions are becoming more and more complex. The relevant information of the operating status of the power equipment also presents the characteristics of multi-source and heterogeneous data. Power system equipment will be disturbed by various external factors during operation, which will cause abnormalities in power system equipment and even affect the normal operation of the entire power system. Therefore, the safe and stable operation of po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 黄文平刘宇薛静远
Owner HUANENG CARBON ASSETS MANAGEMENT CO LTD