Assessment method of running state of electric energy quality monitoring device

Abstract

The present invention relates to the field of electric energy quality monitoring correlation technologies, especially to an assessment method of a running state of an electric energy quality monitoring device. The method comprises the steps of: selecting electric energy quality indexes used for data quality assessment; determining a time interval of statistics data of the electric energy quality indexes; performing calculation and statistics of abnormal data of the electric energy quality indexes within days, wherein the abnormal data comprises missing data and data with unqualified accuracy;and finally calculating and obtaining the data quality indexes capable of reflecting the running state of the electric energy quality monitoring device. The assessment method of the running state of the electric energy quality monitoring device can achieve remote running state assessment of the electric energy quality monitoring device, management personnel do not need to go to an installation site to check the running state of the monitoring device, and therefore, the operation and maintenance management cost of the electric energy quality monitoring device is greatly saved, and the work efficiency is improved.

Description

technical field [0001] The invention relates to the technical field related to power quality monitoring, in particular to a method for evaluating the operating state of a power quality monitoring device. Background technique [0002] The power quality monitoring device operates in the harsh environment of the substation for a long time, and is inevitably affected by the environment of the substation, which leads to problems such as decreased measurement accuracy and stability of the device. The decline in the reliability of power quality monitoring devices will lead to inaccurate power quality monitoring data, which will affect the normal and orderly development of power quality monitoring work. Due to the lack of technical and management means, the current operation status evaluation of power quality monitoring devices cannot be carried out, and the reasons for the lack of power quality data and abnormal data cannot be quickly diagnosed. Managers need to spend a lot of time...

AI Technical Summary

Problems solved by technology

However, there are a large number of power quality monitoring devices, the installation is scattered, and the monitoring of power quality needs to be interrupted for a long time. If it is strictly implemented once every three years, it will require a huge investment in manpower and material resources, and the realizability is poor.

Moreover, this method cannot understand the real-time operating status and operating reliability of the power quality monitoring device. If there is a fault or poor operating status of the power quality monitoring device, it can only be found through regular inspections.

Before the problem is discovered, the power quality monitoring device has been sending inaccurate or invalid data, which will adversely affect the power quality monitoring and analysis work

[0004] To sum up, in terms of the detection of power quality monitoring devices, there is a lack of an efficient and low-cost operating status evaluation method that can realize real-time evaluation of the operating status of power quality monitoring devices, which will greatly affect power quality. Monitoring and Analysis Work

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