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

Identification method for intelligent distribution network topology based on synchronous phasor measurement

A technology of intelligent distribution network and identification method, which is applied in the field of intelligent distribution network topology identification based on synchrophasor measurement, can solve the problems of deviation of identification results and inaccurate line parameters, so as to reduce dependencies and reduce erroneous identification. As a result, the effect of avoiding dependence on line parameters

Active Publication Date: 2018-06-22
TIANJIN UNIV +1
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of identification method requires known line parameters and possible topological connection relationship information for optimal matching. Therefore, this type of identification method is extremely susceptible to problems such as inaccurate line parameters, resulting in large deviations in identification results.

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
  • Identification method for intelligent distribution network topology based on synchronous phasor measurement
  • Identification method for intelligent distribution network topology based on synchronous phasor measurement
  • Identification method for intelligent distribution network topology based on synchronous phasor measurement

Examples

Experimental program
Comparison scheme
Effect test

specific example

[0133] Firstly, input the IEEE 33 node example network topology connection relationship such as figure 2 As shown, the solid line indicates that the nodes are connected through the segment switch, and the dotted line indicates that the nodes are connected through the tie switch. Node 0 is a balance node, and other nodes 1 to 32 are PQ nodes. The reference capacity of the system is 1MVA, and the reference voltage The current power measurement of each PQ node is shown in Table 1. The estimated maximum degree of the input network is 4, and the standard deviations of the simulated measured power variation and error random numbers are set to 0.01 and 0.025%, respectively.

[0134] In order to verify the advanced nature of the method of the present invention, the following two scenarios are taken for analysis:

[0135] Scenario 1, all the segment switches in the topology are closed, all the contact switches are opened, and the number of measurement groups is set to 50, 60, 70, 80,...

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

An Identification method for intelligent distribution network topology based on synchronous phasor measurement, which comprises the following steps of: 1) acquiring node quantity and number of a powerdistribution network, and inputting a termination condition parameter; 2) acquiring the measuring data of the synchronous phasor measurement device; 3) constructing a sensing matrix so that the linenumber of the power flow Jacobin matrix m=1; 4) calculating a voltage correlation coefficient vector; 5) iteratively solving the least squares estimation problem until the termination condition is satisfied; 6) judging whether the estimation of all the rows of the Jacobin matrix is finished, if yes, then entering into the step 7), otherwise m=m+1, then returning to the step 4); 7) constructing a topological identification 0 and1 integer programming model; 8) solving 0 and 1 integer programming model to obtain the network topology of the distribution network. The invention realizes the accurateidentification of the power distribution network topology based on the measurement information completely to avoid the dependence of the estimation problem on the line parameters and effectively reduce the error identification result caused by inaccurate line parameters.

Description

technical field [0001] The invention relates to a distribution network topology identification method. In particular, it relates to an intelligent distribution network topology identification method based on synchronized phasor measurement. Background technique [0002] With the development of distributed generation, demand response, electric vehicles, power electronics and other technologies, the power industry is facing major changes at the power distribution level, and the traditional distribution network is gradually developing into a smart distribution network. Compared with the traditional distribution network, the smart distribution network is facing the challenges of technological innovation in various aspects such as operation monitoring and control, system protection, and energy management. In order to improve the consumption level of new energy generation and the ability to resist risks, improve the power quality of the distribution system, and improve the effici...

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): H02J3/00
CPCH02J3/00H02J2203/20Y02E40/70Y02E60/00Y04S10/00Y04S10/22
Inventor 李鹏宿洪智王成山郭晓斌于力马溪原徐全白浩
Owner TIANJIN 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