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Identification of synchronous generator model with frequency control using unscented Kalman filter

  • Published:2015-09 Issue: Volume:126 Page:45-55
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Aghamolki Hossein Ghassempour,Miao Zhixin,Fan Lingling,Jiang Weiqing,Manjure Durgesh

Funder

DOE/MISO

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference24 articles.

1. Power system state estimation using PMUS with imperfect synchronization;Yang;IEEE Trans. Power Syst.,2013

2. Dynamic state estimation utilizing high performance computing methods;Schneider,2009

3. Application of extended Kalman filter techniques for dynamic model parameter calibration;Huang,2009

4. Model validation with hybrid dynamic simulation;Huang,2006

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

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1. Estimation of Equivalent Model of Photovoltaic Array Using Unscented Kalman Filters;Journal of Modern Power Systems and Clean Energy;2024

2. Review on measurement-based frequency dynamics monitoring and analyzing in renewable energy dominated power systems;International Journal of Electrical Power & Energy Systems;2024-01

3. Deep frequency control of power grids under cyber attacks;Applications of Deep Machine Learning in Future Energy Systems;2024

4. Frequency-Domain System Identification of a First Order Governor-Turbine Model from PMU Ambient Data;2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE);2023-06-19

5. DSE-assisted DEF strategy for locating forced oscillations in synchronous generators;International Journal of Electrical Power & Energy Systems;2023-03
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