Work

Assessing Gaussian Assumption of PMU Measurement Error Using Field Data

Year: 2017

Type: article

Abstract: Gaussian phasor measurement unit (PMU) measurement error 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 assess 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.

Source: IEEE Transactions on Power Delivery

DOI: 10.1109/tpwrd.2017.2762927

Authors: Shaobu Wang, Junbo Zhao, Zhenyu Huang, Ruisheng Diao

Institutions: Pacific Northwest National Laboratory, Virginia Tech

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy

Award: Dynamic State and Parameter Estimation based on Robust Unscented Kalman Filters for Power System Monitoring and Control