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

Topological analysis method for power distribution network based on [mu]PMU and SCADA

A technology of network topology and analysis method, which is applied in the field of distribution network topology analysis based on μPMU and SCADA, and can solve problems such as the inability to realize the rapidity and accuracy of network topology analysis.

Active Publication Date: 2018-10-23
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a distribution network topology analysis method based on μPMU and SCADA, thereby solving the problem that the prior art cannot realize the rapidity and reliability of the network topology analysis in the distribution network. Technical issues with accuracy

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
  • Topological analysis method for power distribution network based on [mu]PMU and SCADA
  • Topological analysis method for power distribution network based on [mu]PMU and SCADA
  • Topological analysis method for power distribution network based on [mu]PMU and SCADA

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as image 3 As shown, in order to further verify the feasibility and effectiveness of the method of the present invention, the IEEE33 node system is used as an example to describe below, and the IEEE33 node system is established with PSCAD to simulate the measurement data of μPMU. As shown in the figure, a μPMU device is installed at the nodes [9, 21, 22, 25, 33]. At the initial moment, assuming that all the tie switches are disconnected, the branch switch matrix S can be obtained as follows:

[0051] S=[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 ,1,1,1,1,1,1,1,1,0,0,0,0,0]

[0052] The elements of zero in the S matrix indicate that the branches are disconnected, and the S matrix has 37 columns, which means that there are 37 branches in the network. When there are new or deleted branches in the network, the dimension of the S matrix also will change accordingly. Reading the connection relationship between the nodes and branches in the network will generate ...

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 topological analysis method for a power distribution network based on [mu]PMU and SCADA, and the method comprises the steps: carrying out the AND operation of each row of aninitial node branch correlation matrix, formed according to the SCADA data, and each element in a branch switching matrix, and obtaining a node branch correlation matrix; judging whether a branch current is abruptly changed or not according to a simulation branch current of [mu]PMU at the next moment and a switching quantity obtained by an SCADA system through the analysis and verification of a simulation current collected by the [mu]PMU: correcting the branch switching matrix if the branch current is abruptly changed, carrying out the AND operation of each row of the node branch correlation matrix and a real-time branch switching matrix, and obtaining a real-time node branch correlation matrix; carrying out the BFS (breadth-first search) of the real-time node branch correlation matrix, and obtaining the topological structure of the power distribution network. The method can achieve the effective discrimination of the impact on the topological structure of the power distribution network from the load changes, achieves the quick and accurate recognition of the changes of the topological structure of the power distribution network, and provides the real-time reliable topology of thepower distribution network.

Description

technical field [0001] The invention belongs to the field of distribution network topology analysis, and more specifically relates to a distribution network topology analysis method based on μPMU and SCADA. Background technique [0002] With the continuous development of the national economy, the power industry is developing rapidly, the structure of the power grid is also being continuously optimized, and the technology of the distribution network has been significantly improved. With the vigorous development of new energy sources, the access of distributed power sources and electric vehicles has brought great challenges to the structure of the existing distribution network. Distribution network topology analysis is the basis of state estimation, parameter estimation, fault analysis, etc., so fast and accurate distribution network topology analysis is particularly important. At present, the distribution network topology analysis is mostly based on the switch status provide...

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): H02J3/26H02J3/00
CPCH02J3/005H02J3/26Y02E40/50Y02E40/70Y02E60/00Y04S10/22
Inventor 谢伟张勇方陈李妍张旭军杨晨光王少荣
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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