PMU-SCADA data time synchronization and fusion method based on Lagrange interpolation and cubic exponential smoothing

A PMU-SCADA, exponential smoothing technology, applied in complex mathematical operations, instruments, calculation models, etc.

Inactive Publication Date: 2020-09-04
HUNAN UNIV +1
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  • Summary
  • Abstract
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  • Claims
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Problems solved by technology

[0005] The purpose of the invention is to solve the time synchronization and fusion problems of SCADA-PMU data

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  • PMU-SCADA data time synchronization and fusion method based on Lagrange interpolation and cubic exponential smoothing
  • PMU-SCADA data time synchronization and fusion method based on Lagrange interpolation and cubic exponential smoothing
  • PMU-SCADA data time synchronization and fusion method based on Lagrange interpolation and cubic exponential smoothing

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Embodiment Construction

[0032] combined with figure 2 Implementation roadmap, the steps of the present invention are as follows:

[0033] Step 1: Data Preparation

[0034] Obtain the SCADA data of the P measurement point, and extract the three-phase voltage and current amplitude time series data SCADA_Seq within the 2T time period type .

[0035] Obtain the PMU data of the P measurement point, and extract the three-phase voltage and current amplitude time series data PMU_Seq within the 2T time period type .

[0036] T is set to be longer than one minute.

[0037] The second step: time series data preprocessing

[0038] Based on the Lagrangian interpolation method, the time series data SCADA_Seq type Data filling is performed, and the time scale interval of the filled data is equal to the time scale interval of the PMU data, that is, 10 milliseconds.

[0039] Based on the triple exponential smoothing method, the time series data PMU_Seq type For noise reduction processing, the values ​​of α, ...

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Abstract

The invention relates to a PMU-SCADA data time synchronization and fusion method based on Lagrange interpolation and cubic exponential smoothing. The method mainly comprises the following steps: (1) an SCADA three-phase voltage and current amplitude time series data filling method based on Lagrange interpolation; (2) a PMU three-phase voltage and current amplitude time series data noise reductionmethod based on cubic exponential smoothing; and (3) a SCADA filling time series data and PMU noise reduction time series data time synchronization and fusion method based on Euclidean distance time series mode matching.

Description

technical field [0001] The invention relates to the field of data mining and processing, and relates to a PMU-SCADA data time alignment and fusion method based on Lagrangian interpolation and cubic exponential smoothing. Background technique [0002] With the rapid development of the national economy, the load demand of various industries has increased rapidly, and the number of nodes in the power grid has also increased rapidly. In order to obtain the power data of nodes in the power grid, a large number of measuring devices need to be installed in the power grid. Through these measurement devices, the power data is obtained, and data mining, data analysis and other technologies are used to mine and analyze the power data, extract high-value power information, realize intelligent online safety monitoring of the power grid, real-time fault diagnosis, and promote the intelligent development of the power grid . However, different measurement devices have different measuremen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06N20/00
CPCG06F17/18G06N20/00
Inventor 周军海向非凡秦拯张吉昕
Owner HUNAN UNIV
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