Assessing Gaussian Assumption of PMU Measurement Error Using Field Data

Journal Article · 12 October 2017 · IEEE Transactions on Power Delivery

DOI: https://doi.org/10.1109/TPWRD.2017.2762927 · OSTI ID:1438236

Wang, Shaobu ^[1]; Zhao, Junbo ^[2]; Huang, Zhenyu ^[1]; Diao, Ruisheng ^[1]

---

1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
2. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States). Bradley Dept. of Electrical and Computer Engineering

Gaussian 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.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 1438236
• Journal Information: IEEE Transactions on Power Delivery, Journal Name: IEEE Transactions on Power Delivery Journal Issue: 6 Vol. 33; ISSN 0885-8977
• Publisher: IEEECopyright Statement
• Country of Publication: United States
• Language: English