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WAMS/SCADA system timing ranking method based on Pearson correlation coefficient

A technology of correlation coefficient and sorting method, applied in data processing applications, instruments, character and pattern recognition, etc., can solve problems such as no correction of node data, distortion of node voltage and branch current phasor, low calculation efficiency, etc., to achieve Realize the effect of time sorting correction

Active Publication Date: 2019-03-15
GUIZHOU POWER GRID CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0014] 1) The node data without PMU layout has not been corrected, and the above correction is not comprehensive;
[0015] 2) First use SCADA data for state estimation, the calculated node voltage and branch current phasors have actually been distorted, and the calculation efficiency is low

Method used

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  • WAMS/SCADA system timing ranking method based on Pearson correlation coefficient
  • WAMS/SCADA system timing ranking method based on Pearson correlation coefficient
  • WAMS/SCADA system timing ranking method based on Pearson correlation coefficient

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Embodiment Construction

[0054] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0055] A kind of WAMS / SCADA system timing sorting method based on Pearson correlation coefficient proposed by the present invention, its implementation process is as follows figure 1 shown.

[0056] (1) Obtain basic data

[0057] The data to be obtained are all node SCADA data and WAMS data with PMU points. In order to meet the needs of Pearson correlation coefficient analysis, the above data must meet the following conditions:

[0058] 1) In terms of data content, the SCADA data is the three data of node voltage amplitude, branch power and node injection power, and the WAMS data is the node voltage and branch current phasor with time scale;

[0059] 2) In terms of...

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Abstract

The invention discloses a WAMS / SCADA system timing sorting method based on Pearson correlation coefficient, belonging to the electric power dispatching field. This method makes full use of Pearson correlation coefficients which can be used to evaluate the correlation between two physical quantities with different dimensions, and uses WAMS data with incomplete distribution and SCADA data with complete distribution to evaluate the correlation, and realizes the correction of SCADA data in chronological order. This method is simple to use and takes into account the characteristics of WAMS data andSCADA data. Combined with the Pearson correlation coefficient evaluation, it has a strong application benefit.

Description

technical field [0001] The invention relates to a time alignment and sorting method of a WAMS / SCADA system based on Pearson correlation coefficient, which belongs to the field of electric power dispatching. Background technique [0002] Wide Area Measurement System (WAMS) has been more and more widely researched and applied by virtue of its unique advantages in power system transient stability analysis. However, since the current data acquisition and supervisory control system (SCADA) has achieved comprehensive coverage in the power system, it can meet the needs of current grid steady-state operation monitoring and control. From the perspective of operating economy, most power grids only configure vector measurement units (PMUs) for WAMS data in key power stations. Therefore, WAMS / SCADA system has become a common form of power grid operation monitoring and control system. [0003] From the monitoring data, WAMS system and SCADA system have the following differences: [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/2113
Inventor 马覃峰王寅唐建兴姚瑶王国松欧阳可凤
Owner GUIZHOU POWER GRID CO LTD
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