Conference paper
Improved method for considering PMU's uncertainty and its effect on real-time stability assessment methods based on Thévenin equivalent
This article characterizes experimentally the relation between phase and magnitude error from Phasor Measurement Units (PMU) in steady state and study its effect on real-time stability assessment methods. This is achieved by a set of laboratory tests applied to four different devices, where a bivariate Gaussian mixture distribution was used to represent the error, obtained experimentally, and later include it in the synthesized PMU measurement using the Monte Carlo Method.
Two models for including uncertainty are compared and the results show that taking into account the correlation between magnitude and phase error reduces significantly the uncertainty in the calculated voltage stability indexes for all the study cases.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2015 |
| Pages: | 1-5 |
| Proceedings: | PowerTech Eindhoven 2015 |
| ISBN: | 147997692X , 1479976938 , 1479976954 , 9781479976928 , 9781479976935 and 9781479976959 |
| Types: | Conference paper |
| DOI: | 10.1109/PTC.2015.7232772 |
| ORCIDs: | Perez, Angel , Jóhannsson, Hjörtur and Østergaard, Jacob |
Long term dynamics Synchronized phasor measurements Total vector error Voltage stability Voltage stability margin Wide area monitoring
Gaussian distribution Monte Carlo method Monte Carlo methods PMU uncertainty Phasor measurement units Power system stability Real-time systems Stability criteria Thévenin equivalent Uncertainty Voltage measurement bivariate Gaussian mixture distribution laboratory tests long term dynamics magnitude error phase error phasor measurement phasor measurement units power system stability real-time stability assessment methods synchronized phasor measurements synthesized PMU measurement voltage regulators voltage stability index calculation voltage stability margin wide area monitoring
