TY - GEN

T1 - Some problems of smart meter algorithms for electric power quality measurements

AU - Lipsky, A.

AU - Miteva, N.

PY - 2011

Y1 - 2011

N2 - The processes of voltage distortion variations which are characterized by such electric power quality indices as harmonic voltages and voltage unbalance are random. The paper shows that in power networks with different types of loads these random processes are characterized by correlation functions of different types with different numerical values of their parameters. To obtain the necessary level of measurement accuracy, the sampling rate within the period of the power network voltage and the amount of the sample during measurement in each concrete case must be different. The research revealed that neglecting the random process features in the measurement of the levels of the above-mentioned electric power quality indices may sometimes reach tens of percent. In addition, errors of voltage harmonics measurement in high-voltage power networks appear due to the nonlinearity of the frequency response of the voltage transformers. These errors can be over ten percent also. The possible large values of the measurement errors, caused by the two factors mentioned above, show the expediency of smart meters which can automatically correct the measurement results.

AB - The processes of voltage distortion variations which are characterized by such electric power quality indices as harmonic voltages and voltage unbalance are random. The paper shows that in power networks with different types of loads these random processes are characterized by correlation functions of different types with different numerical values of their parameters. To obtain the necessary level of measurement accuracy, the sampling rate within the period of the power network voltage and the amount of the sample during measurement in each concrete case must be different. The research revealed that neglecting the random process features in the measurement of the levels of the above-mentioned electric power quality indices may sometimes reach tens of percent. In addition, errors of voltage harmonics measurement in high-voltage power networks appear due to the nonlinearity of the frequency response of the voltage transformers. These errors can be over ten percent also. The possible large values of the measurement errors, caused by the two factors mentioned above, show the expediency of smart meters which can automatically correct the measurement results.

KW - electric power quality

KW - measurement errors

KW - random processes

KW - voltage transformers

UR - http://www.scopus.com/inward/record.url?scp=84856323127&partnerID=8YFLogxK

U2 - 10.1109/SMFG.2011.6125765

DO - 10.1109/SMFG.2011.6125765

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AN - SCOPUS:84856323127

SN - 9781457713125

T3 - SMFG 2011 - IEEE International Conference on Smart Measurements for Grids, Proceedings

SP - 10

EP - 15

BT - SMFG 2011 - IEEE International Conference on Smart Measurements for Grids, Proceedings

T2 - 2011 1st IEEE International Conference on Smart Measurements for Future Grids, SMFG 2011

Y2 - 14 November 2011 through 16 November 2011

ER -