Parameter estimation of fully regulated synchronous generators using Unscented Kalman Filters-Reference-Cited by-同舟云学术

Parameter estimation of fully regulated synchronous generators using Unscented Kalman Filters

Published:2019-03 Issue: Volume:168 Page:210-217
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

González-Cagigal M.A.,Rosendo-Macías J.A.^ORCID,Gómez-Expósito A.

Funder

Ministry of Education and Professional Training of Spain

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference24 articles.

1. Feasibility studies of applying Kalman Filter techniques to power system dynamic state estimation;Huang,2007

2. Robust continuous-discrete extended Kalman filter for estimating machine states with model uncertainties;Ren,2016

3. Dynamic state estimation of a synchronous machine using PMU data: a comparative study;Ning,2015

4. Dynamic state estimation in power system by applying the extended Kalman filter with unknown inputs to phasor measurements;Ghahremani;IEEE Trans. Power Syst.,2011

5. An alternative method for power system dynamic state estimation based on unscented transform;Wang;IEEE Trans. Power Syst.,2012

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