智能电能表测量总谐波失真问题

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
P. Kuwałek, G. Wiczyński
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引用次数: 9

摘要

目前,电力被视为一种商品,需要以一定的质量从分销商输送到消费者手中。电能质量是由一组具有特定极限值的测量来定义的。其中一个基本措施是总谐波失真(THD),它允许评估电压失真的程度。THD比的测量应按规范规范进行。假设A类电能质量分析仪满足这一要求。目前,智能电表作为高级计量基础设施(Advanced Metering Infrastructure, AMI)的一部分,被用于监测大量测量点的电能质量。本文提出了在电压波动情况下AMI表测量THD比的问题。在这种情况下,AMI仪表的测量结果与A类电能质量分析仪的测量结果不一致。该问题是在实验室研究结果的基础上提出的,其中电网中的扰动是重新产生的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Problem of Total Harmonic Distortion Measurement Performed by Smart Energy Meters
Abstract Currently, electricity is treated as commodity that should be delivered from a distributor to a consumer with a certain quality. The power quality is defined by the set of measures with specific limit values. One of the basic measures is the Total Harmonic Distortion (THD), which allows to assess the level of the voltage distortion. The measurement of THD ratio should be carried out in accordance with the normative specification. It is assumed that this requirement is met by class A power quality analyzers. Currently, measures are taken to monitor power quality in a large number of measurement points with the use of smart energy meters that are part of the Advanced Metering Infrastructure (AMI). The paper presents the problem of THD ratio measurement by AMI meters if voltage fluctuations occur. In such situation, inconsistency in measurement results of AMI meters and class A power quality analyzers occurs. The problem is presented on the basis of laboratory study results in which disturbances in power grid are recreated.
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来源期刊
Measurement Science Review
Measurement Science Review INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
11.10%
发文量
37
审稿时长
4.8 months
期刊介绍: - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science
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