Harmonic data evaluation mode based on energy management monitoring system

Abstract

The invention relates to a harmonic data evaluation mode based on an energy management monitoring system. The harmonic data evaluation mode comprises the steps: (1) monitoring data of harmonic waves and electrical loads are obtained from an intelligent electric meter; (2) a harmonic data dereferencing model is built for distinguishing deviations caused by a transient phenomenon and harmonic waveswith high load change; (3) a data storage model is built for decreasing the data storage capacity; and (4) a harmonic evaluation model is built for showing the harmonic condition under the current state. The harmonic data evaluation mode has the beneficial effects that through front-end processing, data points required for needed evaluation are reduced, the system data uploading frequency is lowered, and the data storage capacity of the energy management monitoring system is decreased; the harmonic evaluation deviations caused by the conditions such as the data uploading packet loss, differentmeasuring times of the intelligent electric meter, and different collecting device data uploading periods can be reduced; and the harmonic evaluation index has continuity, and the evaluation result cannot be changed greatly due to the working condition change.

Description

technical field [0001] The invention relates to a data processing algorithm for harmonic current and harmonic voltage data collected by an energy management monitoring system, more specifically, it relates to a harmonic data evaluation method based on the energy management monitoring system. Background technique [0002] The evaluation time period of general power system harmonics is generally at least 24 hours, and the evaluation basis is the larger single-phase harmonic value among the 95% probability values ​​of the three-phase comprehensive value within the evaluation time period (the actual measured values ​​are ranked from large to small Arranged in order, discarding the first 5% of the large values, and the maximum value of the remaining measured values). However, the harmonic data of the energy management monitoring system is only used for investigation and statistics, troubleshooting, and expressing the power quality situation in the current time period. At the sam...

AI Technical Summary

Problems solved by technology

At the same time, the uploading period of the underlying data of the energy management monitoring system to the server of the monitoring system is relatively long.

The 95% probability evaluation method in the traditional harmonic national standard cannot meet the problems of real-time harmonics and long data upload cycle of the energy management monitoring system, and there are problems of large data volume, data packet loss and different sampling cycles that lead to large deviations in evaluation results

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