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A bad data detection and identification method based on pmu measurement and scada measurement

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: 2016-08-31
STATE GRID CORP OF CHINA +2
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  • 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

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  • A bad data detection and identification method based on pmu measurement and scada measurement
  • A bad data detection and identification method based on pmu measurement and scada measurement
  • A bad data detection and identification method based on pmu measurement and scada measurement

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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...

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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 (PhasorMeasurement 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 increases. A new measurement type has been introduced. 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 赵昆徐英贾育培郎燕生邹昱罗雅迪李强鲍福均徐杰颜磊栗向鑫贾琳李森杜佳桐
Owner STATE GRID CORP OF CHINA
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