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

Photovoltaic transmission line fault phase selection method based on IMF energy entropy

A technology for sending out lines and fault phase selection, applied in the direction of the fault location, etc., can solve the problems that the time-frequency window cannot be adjusted adaptively, the resolution of time and frequency cannot be considered, and the optimal effect cannot be guaranteed, etc., so as to achieve low difficulty and high reliability effect

Active Publication Date: 2018-01-26
NANJING UNIV OF SCI & TECH
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The time-frequency window of the short-time Fourier transform cannot be adjusted adaptively, and it cannot take into account the requirements of time and frequency resolution, and is not suitable for analyzing non-stationary signals; although the wavelet transform has higher resolution in the time domain and frequency domain, However, the wavelet basis function and decomposition scale are difficult to choose, and the optimal effect cannot be guaranteed, nor is it adaptive

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
  • Photovoltaic transmission line fault phase selection method based on IMF energy entropy
  • Photovoltaic transmission line fault phase selection method based on IMF energy entropy
  • Photovoltaic transmission line fault phase selection method based on IMF energy entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] The method of the invention adopts the electromagnetic transient simulation software PSCAD / EMTDC v4.5, and performs simulation verification with reference to the actual operating parameters of a 110kV grid-connected photovoltaic power station in a certain area. The photovoltaic power station has LVRT capability with a capacity of 20MW. The total length of the sending line CD is 20km. The positive sequence impedance of the line is 0.12+j0.38Ω / km, the zero sequence impedance is 0.396+j1.15Ω / km, and the fault lasts for 0.1s.

[0065] combine figure 1 , the present invention is based on IMF energy entropy photovoltaic transmission line failure phase selection method, comprising the following steps:

[0066] ① Obtain the three-phase fault component voltage Δu of the outgoing line of the photovoltaic power station a , Δu b , Δu c and zero-sequence fault component voltage data Δu 0 ;

[0067] ② Carry out Empirical Mode Decomposition (EMD for short) on the above-mentioned ...

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 discloses a photovoltaic transmission line fault phase selection method based on an IMF energy entropy. The method comprises steps that a three-phase fault component voltage and a zero sequence fault component voltage of a photovoltaic power station transmission line are acquired; EMD of the three-phase fault component voltage and the zero sequence fault component voltage is respectively carried out, IMF components under each frequency band are adaptively acquired; a correlation coefficient sequence between each IMF component and an original signal is solved, and effective IMF components are screened through a set threshold; energy entropy fault characteristic parameters are calculated according to the effective IMF components, in combination with short circuit fault characteristics and different characteristics of the characteristic parameters, phase selection criteria are constructed, and fault phase selection is realized. The method is advantaged in that the EMD methodis combined with the energy entropy concept, the method is suitable for photovoltaic power station transmission line photovoltaic side fault phase selection, accurate motion can be carried out at thephotovoltaic side, characteristics which are not influenced by the fault position, transition resistance and a fault initial angle are realized, and accuracy of photovoltaic transmission line fault phase selection is improved.

Description

technical field [0001] The invention relates to the technical field of relay protection of photovoltaic power plants, in particular to a fault phase selection method for photovoltaic sending lines based on IMF energy entropy. Background technique [0002] With the gradual depletion of traditional fossil resources and the increasingly prominent problem of environmental pollution, the sun has attracted more and more attention due to its advantages of cleanness, environmental protection and superior resource reserves. At present, connecting large-scale photovoltaic power plants to the power system is the best way to utilize solar energy resources. way. Since large and medium-sized photovoltaic power plants have certain low-voltage ride-through (LVRT) capabilities, and their fault current does not exceed 1.2 times the rated load current of the inverter, it will have a serious impact on the operating performance of the phase selection element based on current information on the p...

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): G01R31/08
Inventor 王宝华滕书宇严彬彬王惠赵刘宁
Owner NANJING UNIV OF SCI & TECH
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