December 3, 2018
Journal Article

Assessing Gaussian Assumption of PMU Measurement Error Using Field Data

Abstract

Gaussian PMU measurement noise has been assumed for many power system applications, such as state estimation, oscillatory modes monitoring, voltage stability analysis, to cite a few. This letter proposes a simple yet effective approach to validate this assumption by using the stability property of a probability distribution and the concept of redundant measurement. Extensive results using field PMU data from WECC system reveal that the Gaussian assumption is questionable.

Revised: February 12, 2019 | Published: December 3, 2018

Citation

Wang S., J. Zhao, Z. Huang, and R. Diao. 2018. Assessing Gaussian Assumption of PMU Measurement Error Using Field Data. IEEE Transactions on Power Delivery 33, no. 3:3233-3236. PNNL-SA-127128. doi:10.1109/TPWRD.2017.2762927