By Topic

Frequency-response characteristics and error estimation in RMS measurement

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Fan Wang ; Dept. of Electr. Power Eng., Chalmers Univ. of Technol., Gothenburg, Sweden ; Bollen, M.H.J.

Root-mean-square (rms) calculation is a popular method adopted in power system parameter classification. Typical examples are its application in voltage sag classification and relay protection. Starting from the viewpoint of frequency response, this paper seeks to study the characteristics of the rms method, for both the single-frequency and mixed-frequency signals. Analysis is made on its dependence on sampling rate, sampling window size, as well as point-on-wave through strict mathematical deductions. Interesting discoveries include the locations of the "pitfall" frequencies, the minimum sampling points for correct rms output as well as the fluctuation of rms magnitude. Estimation is made on the maximum rms output errors due to the presence of harmonics as well as frequency deviation. Reasonable approximation is adopted in such estimation. Such error estimations are useful in measurement of power system voltages, or any other parameters with relatively higher fundamental but lower harmonics levels.

Published in:

Power Delivery, IEEE Transactions on  (Volume:19 ,  Issue: 4 )