An online remote calibration method for smart meters based on measurement data analysis

A technology for smart meters and measuring data, applied in the field of smart meter verification in power systems, can solve problems such as rough analysis results and inability to achieve remote verification of energy meters, avoid data oversaturation, and improve analysis speed and accuracy. , the effect of improving accuracy

Active Publication Date: 2021-07-09
TIANJIN UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Relevant research results qualitatively divide the energy meter into several states, and the analysis results are relatively rough, and it is impossible to realize accurate remote calibration of energy meters based on data analysis

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
  • An online remote calibration method for smart meters based on measurement data analysis
  • An online remote calibration method for smart meters based on measurement data analysis
  • An online remote calibration method for smart meters based on measurement data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] An online remote calibration method for smart meters based on measurement data analysis provided by an embodiment of the present invention, see Figure 1-Figure 5 , the remote verification method includes the following steps:

[0044] S11: Obtain information required for online remote calibration of errors;

[0045] Among them, the information includes: station area and user information files, smart meter original measurement data time series.

[0046] In actual implementation, the original measurement data is mainly obtained by the smart meter data acquisition system based on AMI. The acquisition system architecture is slightly different for different regions. The physical architecture of AMI-based smart meter data acquisition is as follows: figure 2As shown, a concentrator is installed under the public distribution transformer, and the concentrator is directly connected or connected to a smart meter through a collector to realize the collection of electricity cons...

Embodiment 2

[0141] Combined with specific calculation examples, calculation formulas, Figure 6-Figure 10 Carry out feasibility verification to the remote verification method mentioned in embodiment 1, specifically include:

[0142] In order to verify the effectiveness of the proposed method, the embodiment of the present invention takes the actual smart meter measurement data of a certain city in my country from February to May 2018 as the object of analysis, and the data collection frequency is 15 minutes. Among them, the station area under study contains a total electric energy meter of the station area and 185 user electric energy meters. The no-load or light-load data is filtered out through data preprocessing, and the measurement data groups of different periods are obtained as analysis samples. Set the value of the memory length L to 1000, and use this method to solve the smart meter operation error recursive estimation curve as follows Image 6 As shown, the error analysis result...

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 an online remote verification method for smart meters based on measurement data analysis, the method is based on electricity consumption data, and the method includes the following steps: using an improved fuzzy C-means clustering technology to preprocess original measurement data Time series, excluding the measurement data under light load conditions, as the input variable of the online remote verification model; on the basis of calculating the line loss in the station area, establish the error solving equation of the smart meter; based on the limited memory recursive least squares algorithm Estimate the operating error of the smart meter; check and analyze the error estimation results of the smart meter; make business decision-making based on the online remote verification results of the smart meter. The present invention improves the accuracy, efficiency and practicability of the error estimation of the smart meter based on the analysis of the power consumption data.

Description

technical field [0001] The invention relates to the field of smart meter verification in electric power systems, in particular to an online remote verification method for smart meters based on measurement data analysis. Background technique [0002] Smart meters are an important part of the smart grid, and are also the basis for grid operation control and trade settlement between power suppliers and consumers. The measurement results are directly related to the security of the power grid and whether the trade settlement between the two parties is fair and reasonable. Therefore, it is particularly important to determine the operating error status of smart meters. . [0003] At present, the dismantling and inspection of electric energy meters or periodic random inspections by professionals regularly carry instruments and equipment to the site are the main ways for electric power companies to verify the accuracy of smart electric meters. With the expansion of the grid scale, t...

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 Patents(China)
IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 孔祥玉马玉莹王晟晨
Owner TIANJIN UNIV
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