Assessing Gaussian Assumption of PMU Measurement Error Using Field Data
Journal Article
·
· IEEE Transactions on Power Delivery
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- 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 (OE)
- Grant/Contract Number:
- AC05-76RL01830; 1711191
- OSTI ID:
- 1438236
- Journal Information:
- IEEE Transactions on Power Delivery, Vol. 33, Issue 6; ISSN 0885-8977
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 106 works
Citation information provided by
Web of Science
Web of Science
Similar Records
Assessing Gaussian Assumption of PMU Measurement Error Using Field Data
Robust Adaptive Decentralized Dynamic State Estimation with Unknown Control Inputs using Field PMU Measurements
Spatiotemporal Pattern Recognition in the PMU Signals in the WECC system
Journal Article
·
2018
· IEEE Transactions on Power Delivery
·
OSTI ID:1494308
+1 more
Robust Adaptive Decentralized Dynamic State Estimation with Unknown Control Inputs using Field PMU Measurements
Conference
·
2020
·
OSTI ID:1760333
+2 more
Spatiotemporal Pattern Recognition in the PMU Signals in the WECC system
Conference
·
2020
·
OSTI ID:1760323
+1 more