Bad data detection and identification method based on measurement of PMU (Phasor Measurement Unit) and measurement of SCADA (Supervisory Control and Data Acquisition)

A technology of bad data and identification methods, applied in the field of detection and identification, can solve problems such as not being raised

Active Publication Date: 2014-04-23
STATE GRID CORP OF CHINA +2
View PDF5 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although state estimation has been developed for decades at home and abroad, and the research on bad data detection and identification has never stagnated, there is still no effective method for detecting and identifying bad data.

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
  • Bad data detection and identification method based on measurement of PMU (Phasor Measurement Unit) and measurement of SCADA (Supervisory Control and Data Acquisition)
  • Bad data detection and identification method based on measurement of PMU (Phasor Measurement Unit) and measurement of SCADA (Supervisory Control and Data Acquisition)
  • Bad data detection and identification method based on measurement of PMU (Phasor Measurement Unit) and measurement of SCADA (Supervisory Control and Data Acquisition)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0073] The present invention provides a bad data detection and identification method based on PMU measurement and SCADA measurement, (1) Bad data detection and identification technology based on topological relationship: based on network topology relationship, make full use of PMU measurement type and measurement synchronization Based on the advantages of PMU power measurement information, voltage measurement information and current measurement information, it can detect bad data in massive measurement information; based on the network topology relationship, it can detect bad data in power measurement in SCADA measurement. Carry out further refined bad data detection and identification, (2) Bad data detection and identification technology based on dynamic partition: after bad data identification of PMU measurement and SCADA measurement through network topology...

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 provides a bad data detection and identification method based on the measurement of a PMU (Phasor Measurement Unit) and the measurement of an SCADA (Supervisory Control and Data Acquisition). The method comprises the following steps: obtaining a network computing module by performing network topology analysis, detecting and identifying bad data based on an incidence matrix representing network topology relation, and detecting and identifying the bad data based on dynamic partition. The bad data detection and identification method based on the measurement of the PMU and the measurement of the SCADA is high in practical level, can be widely applied to current provincial power grids and national power grid, can adapt to requirement on online analysis of future large power grids, can rapidly and accurately remove bad data in measured information, and can improve mode estimation accuracy.

Description

technical field [0001] The invention relates to a detection and identification method, in particular to a detection and identification method for bad data based on PMU measurement and SCADA measurement. Background technique [0002] Power system state estimation is an important part of modern energy management systems. In the past, most of its measurement data came from Supervisory Control And Data Acquisition (SCADA), referred to as SCADA system. In recent years, with the rapid development of wide-area measurement technology, more and more synchrophasor measurement units (Phasor Measurement Unit), that is, PMU measurement equipment, have begun to be put into the power system, so the measurement for state estimation is more abundant and also Added new measurement types. Even so, in addition to the normal measurement noise, the two kinds of measurement information may also contain bad data. The existence of bad data will cause the estimation results to be polluted and even s...

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 Applications(China)
IPC IPC(8): G06F19/00
Inventor 赵昆颜磊李理王少芳宋旭日贾育培王磊郎燕生李强李森
Owner STATE GRID CORP OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap