Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation
Abstract
Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-synchronized measurements, and the advances in the capability, scalability, and affordability of computing and communications. This paper discusses the advantages of DSE as compared to static state estimation, and the implementation differences between the two, including the measurement configuration, modeling framework and support software features. The important roles of DSE are discussed from modeling, monitoring and operation aspects for today's synchronous machine dominated systems and the future power electronics-interfaced generation systems. Several examples are presented to demonstrate the benefits of DSE on enhancing the operational robustness and resilience of 21st century power system through time critical applications. Future research directions are identified and discussed, paving the way for developing the next generation of energy management systems.
Keywords
Cite
@article{arxiv.2005.05380,
title = {Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation},
author = {Junbo Zhao and Marcos Netto and Zhenyu Huang and Samson Shenglong Yu and Antonio Gomez-Exposito and Shaobu Wang and Innocent Kamwa and Shahrokh Akhlaghi and Lamine Mili and Vladimir Terzija and A. P. Sakis Meliopoulos and Bikash Pal and Abhinav Kumar Singh and Ali Abur and Tianshu Bi and Alireza Rouhani},
journal= {arXiv preprint arXiv:2005.05380},
year = {2020}
}
Comments
9 pages, 6 figures