Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Electric power equipment fault early-warning method

A fault warning and power equipment technology, applied in the field of power grid equipment detection, can solve problems such as difficulty in judging fault information, labor-intensive manual processing, and fault finding, etc., so as to shorten the accident processing time, ensure safe and reliable operation, and avoid abnormal situations. Effect

Inactive Publication Date: 2016-06-08
安徽海兴泰瑞智能科技有限公司
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the power grid is in normal operation, the alarm information generated by the power equipment needs to be processed manually; when the power grid fails, hundreds of alarm information will be sent to the control center in a short time, and it is impossible for the controller to respond to these alarms in a very short time. Correctly analyze and process the information, and cannot make full use of the fault information to find out the area and equipment where the fault occurred
Therefore, the existing power grid dispatching and alarm system has the disadvantages of difficulty in judging fault information, high labor intensity of manual processing, and low efficiency of accident handling, which affects the safety and reliable operation of the power grid.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electric power equipment fault early-warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention will be further explained below in conjunction with the drawings:

[0015] Such as figure 1 As shown, the power equipment failure early warning method of this embodiment specifically includes the following steps:

[0016] S1: By filtering a large number of alarm information generated before and after the grid failure, the operation amount information at the time of the grid failure, that is, the switch and protection operation information is obtained;

[0017] S2: Obtain the action information from the data collection, monitoring system and the circuit breaker, firstly determine the power outage area from the action state of the circuit breaker, and then list the components in the power outage area as suspected faulty elements. Through the time stamp information of the protection and the circuit breaker, Obtain the failure time of each action node of the suspected failure component;

[0018] S3: Based on the action information, that is, the switch, the pr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an electric power equipment fault early-warning method which comprises the following steps of acquiring acting quantity information of a power grid in a fault occurrence time, namely switch information and protection action information; acquiring action information from a data acquiring and monitoring system and a circuit breaker, and obtaining fault occurrence time of each action node of a suspected faulted component; discriminating faulted equipment in the power grid in a real-time online manner and generating fault brief information; combining the switch information, the protection action information and the fault brief information by a transformer substation for forming transformer substation fault data information; receiving and analyzing uploaded fault data information by a scheduling center, performing real-time diagnosis on the fault equipment of the power grid according to a logical reasoning algorithm, and performing comparison checking on the diagnosis result and the fault diagnosis result of the transformer substation. The electric power equipment fault early-warning method has advantages of acquiring fault information in the power grid equipment in time, shortening accident processing time, ensuring safe and reliable operation of the power grid, ensuring high safety of power grid equipment and preventing abnormity of the power grid.

Description

Technical field [0001] The invention relates to the technical field of power grid equipment detection, in particular to a method for early warning of power equipment failures. Background technique [0002] With the rapid development of my country's power industry, the installed capacity of the power grid is growing rapidly, and the scale of the power grid is expanding simultaneously, the structure is also complicated, and the operation mode is various, and more and more alarm information is presented to the dispatcher. When the power grid is operating normally, the alarm information generated by the power equipment still needs to be processed manually; when the power grid fails, hundreds of alarm information will be sent to the control center in a short time, and it is impossible for the controller to give an alarm in a very short time. Information is correctly analyzed and processed, and the fault information cannot be fully utilized to find out the area and equipment where the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01R31/02
CPCG01R31/50
Inventor 汪伟刘天霁汪继红吴立群
Owner 安徽海兴泰瑞智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products