Risk assessment method and system for windage yaw flashover, device, and readable storage medium

Patent metadata

Field	Value
Publication number	US-2024257011-A1
Application number	US-202318557552-A
Country	US
Kind code	A1
Filing date	Aug 28, 2023
Priority date	Nov 4, 2022
Publication date	Aug 1, 2024
Grant date	—

Abstract

Provided is a risk assessment method for power transmission line windage yaw flashover. The method includes determining the influence factors of power transmission line windage yaw flashover and setting risk assessment indexes according to the influence factors (S 101 ); generating the standard cloud of the risk assessment indexes according to the incident occurrence probabilities and the consequence levels of the risk assessment indexes (S 103 ); scoring the influence factors according to the risk assessment indexes and generating the risk cloud of the risk assessment indexes according to scoring results (S 105 ); and performing a two-dimensional similarity calculation on the risk cloud and the standard cloud to obtain two-dimensional similarity between the risk cloud and the standard cloud and determining the risk level of the power transmission line windage yaw flashover according to the two-dimensional similarity (S 107 ).

First claim

What is claimed is:

1 . A risk assessment method for power transmission line windage yaw flashover, comprising:
determining influence factors of power transmission line windage yaw flashover and setting risk assessment indexes according to the influence factors; generating a standard cloud of the risk assessment indexes according to incident occurrence probabilities and consequence levels of the risk assessment indexes; scoring the influence factors according to the risk assessment indexes and generating a risk cloud of the risk assessment indexes according to scoring results; and performing a two-dimensional similarity calculation on the risk cloud and the standard cloud to obtain two-dimensional similarity between the risk cloud and the standard cloud and determining a risk level of the power transmission line windage yaw flashover according to the two-dimensional similarity.

2 . The risk assessment method for power transmission line windage yaw flashover according to claim 1 , further comprising:
determining the influence factors of the power transmission line windage yaw flashover according to historical fault information, operation and maintenance information, and meteorological information of a power transmission line.

3 . The risk assessment method for power transmission line windage yaw flashover according to claim 1 , wherein scoring the influence factors according to the risk assessment indexes and generating the risk cloud of the risk assessment indexes according to the scoring results comprise:
generating an expert assessment system according to the risk assessment indexes and calculating weight values of the risk assessment indexes according to the expert assessment system; assessing the risk assessment indexes according to the expert assessment system and generating an initial risk cloud of the risk assessment indexes according to assessment results; and generating the risk cloud of the risk assessment indexes according to the weight values and the initial risk cloud.

4 . The risk assessment method for power transmission line windage yaw flashover according to claim 3 , wherein calculating the weight values of the risk assessment indexes according to the expert assessment system comprises:
sorting the risk assessment indexes according to the expert assessment system and performing comparing according to risk assessment indexes of adjacent sequence numbers to obtain comparison results; and determining subjective weight values of the risk assessment indexes based on a stepwise weight assessment ratio analysis method according to the comparison results.

5 . The risk assessment method for power transmission line windage yaw flashover according to claim 4 , wherein calculating the weight values of the risk assessment indexes according to the expert assessment system further comprises:
assessing the risk assessment indexes according to the expert assessment system to obtain the assessment results; and converting the assessment results into intuitionistic fuzzy numbers and calculating objective weight values of the risk assessment indexes based on a direct fuzzy entropy weight method.

6 . The risk assessment method for power transmission line windage yaw flashover according to claim 5 , wherein calculating the weight values of the risk assessment indexes according to the expert assessment system further comprises:
determining comprehensive weight values of the risk assessment indexes by a combined weighting method based on a game theory according to the subjective weight values and the objective weight values; and using the comprehensive weight values as the weight values of the risk assessment indexes.

7 . The risk assessment method for power transmission line windage yaw flashover according to claim 1 , wherein performing the two-dimensional similarity calculation on the risk cloud and the standard cloud to obtain the two-dimensional similarity between the risk cloud and the standard cloud comprises:
generating a two-dimensional normal cloud model of the standard cloud according to an occurrence probability level, a consequence level, and a membership degree of windage yaw flashover of the standard cloud and generating a two-dimensional normal cloud model of the risk cloud according to an occurrence probability level, a consequence level, and a membership degree of windage yaw flashover of the risk cloud; and performing cloud model similarity calculation according to the two-dimensional normal cloud model of the standard cloud and the two-dimensional normal cloud model of the risk cloud to obtain the two-dimensional similarity between the risk cloud and the standard cloud.

8 - 14 . (canceled)

15 . A computer device, comprising a memory and a processor, wherein the memory stores computer programs, and when executing the computer programs, the processor performs:
determining influence factors of power transmission line windage yaw flashover and setting risk assessment indexes according to the influence factors; generating a standard cloud of the risk assessment indexes according to incident occurrence probabilities and consequence levels of the risk assessment indexes; scoring the influence factors according to the risk assessment indexes and generating a risk cloud of the risk assessment indexes according to scoring results; and performing a two-dimensional similarity calculation on the risk cloud and the standard cloud to obtain two-dimensional similarity between the risk cloud and the standard cloud and determining a risk level of the power transmission line windage yaw flashover according to the two-dimensional similarity.

16 . A non-transitory computer-readable storage medium, storing computer programs, wherein when executing the computer programs, a processor performs steps of the method according to claim 1 .

17 . The computer device according to claim 15 , wherein when executing the computer programs, the processor performs:
determining the influence factors of the power transmission line windage yaw flashover according to historical fault information, operation and maintenance information, and meteorological information of a power transmission line.

18 . The computer device according to claim 15 , wherein scoring the influence factors according to the risk assessment indexes and generating the risk cloud of the risk assessment indexes according to the scoring results comprise:
generating an expert assessment system according to the risk assessment indexes and calculating weight values of the risk assessment indexes according to the expert assessment system; assessing the risk assessment indexes according to the expert assessment system and generating an initial risk cloud of the risk assessment indexes according to assessment results; and generating the risk cloud of the risk assessment indexes according to the weight values and the initial risk cloud.

19 . The computer device according to claim 18 , wherein calculating the weight values of the risk assessment indexes according to the expert assessment system comprises:
sorting the risk assessment indexes according to the expert assessment system and performing comparing according to risk assessment indexes of adjacent sequence numbers to obtain comparison results; and determining subjective weight values of the risk assessment indexes based on a stepwise weight assessment ratio analysis method according to the comparison results.

20 . The computer device according to claim 19 , wherein calculating the weight values of the risk assessment indexes according to the expert assessment system further comprises:
assess

Assignees

• State Grid Electric Power Res Institute In Shandong Province Power Company
• State Grid Corp China

Inventors

• Zhou Chao
• Liu Hui
• Qin Jiafeng
• Sun Xiaobin
• Jia Ran
• Li Dandan
• Geng Bo
• Zhang Yang
• Liu Rong
• Shen Hao
• Liu Chuanbin
• Yu Chuanwei
• Yang Jie
• Cai Yingming
• Chen Xingyan
• Gao Chengcheng
• Wei Likun

Classifications

• G06Q10/0635 Primary

  Risk analysis of enterprise or organisation activities · CPC title

• G06Q50/06

  Energy or water supply · CPC title

• G06Q10/0639 Primary

  Performance analysis of employees; Performance analysis of enterprise or organisation operations · CPC title

• Y04S10/50

  Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications · CPC title