Development of a methodology for data validation in power systems using different types of measurements

Pavel Y Kovalenko,Valentin I Mukhin,Mihail D Senyuk,V.A Golenishchev-Kutuzov

doi:10.1051/e3sconf/202128801062

Abstract

In recent years, the technology of synchrophasor measurements has been introduced in power systems around the world. When managing a power system and predicting its operation conditions, the important task is to check the validity of power system data. At the same time, the traditional types of measurements, such as digital fault recorders and telemetry devices are still widely used. It is known that redundancy of measurements contributes to a more accurate solution of the data validation problem. It is useful to create a method for data validation in power systems, which could involve various types of measurements in order to increase the redundancy and, hence, the overall accuracy of measurements. This study presents some validity criteria that use the idea described above. The results of testing the proposed methodology on the substation model in Matlab software package are presented and discussed.

Highlights

A generally recognized effective way to ensure the reliability of information at power facilities is to increase the redundancy of measurements, because with an increase in the number of measurements, the probability of the presence of unreliable measurements decreases
It should be noted that the synchrophasor measurement data validation system must perform automatic periodic validation of the synchrophasor measurement data to signal the possibility of the following problems:
This study shows the idea of a method for verifying data within a power facility by increasing the redundancy of measurement information

Summary

Introduction

A generally recognized effective way to ensure the reliability of information at power facilities is to increase the redundancy of measurements, because with an increase in the number of measurements, the probability of the presence of unreliable measurements decreases. The study proposes a method for verifying data inside a power facility using different types of measuring instruments. This is a good way to achieve redundancy in measurements, which is not always possible with techniques based on the use of any one type of measurement. Given the large volume of such information, its constant transfer to a higher level of management system is not expected. In this case it would be optimal to solve the problem of data validation within a power facility

Methods

Discussion

Conclusion