Online dynamic assessment of system stability in power systems using the unscented Kalman filter
Dynamic state estimation on of power systems stability based on Phasor Measurement Units (PMUs) data is a requirement in order to assess power system security. This paper addresses the state estimation problem from a strong mathematical point of view to be applied for estimation on real time. Specif...
- Autores:
-
Moreno-Chuquen, Ricardo
Florez Cediel, Oscar David
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/12920
- Acceso en línea:
- https://hdl.handle.net/10614/12920
- Palabra clave:
- Teoría de la estimación
Kalman filtering
Estimation theory
Filtración Kalman
State estimation
Kalman filter
On-line monitoring
Data-driven methods
Sliding window
Phasor measurements units
Dynamic state estimation
Wide area protection systems
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/