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Feasibility Analysis of Online Uncertainty Metrics for PMU-Based State Estimation

Authors :
Guglielmo Frigo
Federico Grasso-Toro
Source :
Applied Sciences, Vol 13, Iss 21, p 11670 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The ever-increasing penetration of renewable energy sources and distributed generation needs developing and deploying more sophisticated and precise control techniques. The paradigm shift from high-rotational inertia towards inverter-connected facilities has made modern power systems subject to strongly non-stationary operating conditions. In this context, phasor measurement units (PMUs) represent a promising solution due to their accuracy and time synchronization. The current paper further develops the concepts recently published proposing performance assessment of PMUs relying on metrics specifically defined to quantify the estimation accuracy, reporting latency, and response time. Our focus is on determining the confidence interval associated with these metrics and thus derive a robust approach for their application in measurement-based network controlling efforts. The configuration of the used simulation model is detailed, and the state estimation results as a function of the selected measurement weighing criteria are presented, concluding as a possible application of the reliability metrics in Weighted Least Squares and Discrete Kalman Filter state estimators, highlighting the performance enhancement as well as the theoretical limits of the proposed approach.

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
21
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.369f0556caab4c18a7ea2f3449cd4e6b
Document Type :
article
Full Text :
https://doi.org/10.3390/app132111670