Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

05/11/2020
by   Junbo Zhao, et al.
0

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.

READ FULL TEXT
research
03/01/2023

Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms

Electrical power systems are increasing in size, complexity, as well as ...
research
10/12/2022

Computing Power Network: A Survey

With the rapid development of cloud computing, edge computing, and smart...
research
05/10/2019

Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component

In this article, we survey the main models, techniques, concepts, and re...
research
02/20/2020

Graph Computing based Distributed State Estimation with PMUs

Power system state estimation plays a fundamental and critical role in t...
research
02/20/2014

Formal Description of Components in Operating Systems

The contemporary development of hardware components is a prerequisite fo...

Please sign up or login with your details

Forgot password? Click here to reset