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

Phase Selection Method for Transmission Line Faults Based on Fuzzy Reasoning Impulse Neural Membrane System

A technology of fuzzy reasoning and pulsating nerve, applied in the fault location, detecting faults by conductor type, measuring electricity, etc., to achieve the effect of clear and simple phase selection process, reasonable reasoning process, and easy maintenance.

Inactive Publication Date: 2019-03-01
XIHUA UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The outstanding advantage of the present invention is to use the fuzzy reasoning pulse neuromembrane system to solve the second stage of the transmission line fault phase selection

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
  • Phase Selection Method for Transmission Line Faults Based on Fuzzy Reasoning Impulse Neural Membrane System
  • Phase Selection Method for Transmission Line Faults Based on Fuzzy Reasoning Impulse Neural Membrane System
  • Phase Selection Method for Transmission Line Faults Based on Fuzzy Reasoning Impulse Neural Membrane System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] here to Image 6 The method of the present invention will be described in detail by taking the short-circuit fault of the double-ended power supply transmission line as an example. The embodiment is divided into four representative cases of single-phase ground fault, two-phase ground fault, two-phase interphase short-circuit fault and three-phase short-circuit fault. Case 1: Phase A ground fault of the transmission line, the initial fault angle is 0°, the fault resistance is 200Ω, and the fault distance is 200km; Case 2: AB two-phase ground fault, the fault initial angle is 0°, the fault resistance is 200Ω, The fault distance is 200km; Case 3: AB-phase short-circuit fault, the initial fault angle is 30°, the fault resistance is 200Ω, and the fault distance is 200km; Case 4: ABC three-phase short-circuit fault, the fault initial angle is 30°, and the fault resistance is 200Ω , the fault distance is 200km;

[0054] Case 1: Phase A of the transmission line has a ground f...

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 belongs to the field of scheduling and fault analysis of power grid, and relates to a power transmission line fault phase selecting method based on a fuzzy reasoning pulse neural membrane system. The method mainly comprises steps of acquiring current fault component information; extracting current fault component signal wavelet features; establishing a fault phase selection fuzzy reasoning real-number phase neural membrane system; carrying out reasoning on the established fault phase selection fuzzy reasoning real-number phase neural membrane system; and carrying out determination according to fuzzy reliabilities of all suspected fault types obtained through the fuzzy reasoning, and selecting a fault type corresponding to a proposition nerve cell with the biggest fuzzy reliability to serve as the final phase selection result. The beneficial effects are that by organically combining the wavelet transformation and the fuzzy reasoning real-number phase neural membrane system, precise power transmission line fault phase selection is achieved; accuracy of the fault phase selection is high; and the method is simple to achieve and highly adaptable to complex fault conditions.

Description

technical field [0001] The invention belongs to the field of power grid dispatching and fault analysis, and relates to a fault phase selection method of a transmission line based on a fuzzy reasoning real-number pulse neural membrane system. Background technique [0002] With the continuous expansion of the grid scale, how to efficiently and stably transmit electric energy is an important link to ensure the safe and stable operation of the grid. There are many factors affecting power transmission, among which transmission line failure is one of the important factors. How to quickly and accurately select the fault phase of the transmission line is an important prerequisite for quickly restoring the power supply of the grid and ensuring the safe operation of the grid. [0003] At present, the traditional transmission line fault phase selection is mainly divided into two stages: fault information feature extraction and fault information feature recognition. In the first stage...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/085G01R31/088
Inventor 张葛祥黄康
Owner XIHUA UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com