Analysis of Errors in Active Power and Energy Measurements Under Random Harmonic Distortion Conditions

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Measurement Science Review Pub Date : 2021-10-26 DOI:10.2478/msr-2021-0023
Kiril Demerdziev, V. Dimchev
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引用次数: 3

Abstract

Abstract As harmonic distortion of voltage and current is reality in the power system, the need for accurate measurement of electrical power and energy goes beyond the instruments’ specifications and calibration procedures regarding pure sine wave signals. Several international standards and recommendations provide test signals for examination of electricity meters under non-sinusoidal conditions, however, not all of the test signal parameters’ possible states are faithfully represented in those documents. Because the high order harmonics may possess random amplitudes and phase shifts in relation to components at fundamental frequency, it is important that the meter’s performance is verified with random waveforms as well. The non-linear dependence between the measured power/energy and the phase shifts, both between fundamental and harmonic components, provides additional complexity of such an analysis. Simple test signals, which are in accordance with the standards’ demands and propositions, are used for determination of the measurement error in case of different harmonic distortion parameter change. In order for a general error function for any measurement device to be determined, mathematical modelling, regarding the results from multiple tests, is performed. The mathematical model presents a strong dependence between a single component’s phase shifts and a meter’s error and it provides a systematization of all signal parameters’ influence on the measurement accuracy.
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随机谐波失真条件下有功功率和能量测量误差分析
由于电力系统中电压和电流的谐波失真是现实存在的,对于纯正弦波信号,精确测量电能和能量的需求超出了仪器的规格和校准程序。一些国际标准和建议提供了在非正弦条件下检查电表的测试信号,然而,并非所有测试信号参数的可能状态都忠实地表示在这些文件中。由于高次谐波相对于基频的分量可能具有随机振幅和相移,因此用随机波形验证仪表的性能也很重要。测量的功率/能量与相移之间的非线性依赖关系,以及基频和谐波分量之间的相移,为这种分析提供了额外的复杂性。采用符合标准要求和命题的简单测试信号,确定不同谐波失真参数变化情况下的测量误差。为了确定任何测量装置的一般误差函数,对多次测试的结果进行数学建模。该数学模型显示了单个元件相移与仪表误差之间的强烈依赖关系,并提供了所有信号参数对测量精度影响的系统化。
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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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