Decentralized unscented Kalman filter based on a consensus algorithm for multi-area dynamic state estimation in power systems-Reference-Cited by-同舟云学术

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Decentralized unscented Kalman filter based on a consensus algorithm for multi-area dynamic state estimation in power systems

Published:2015-02 Issue: Volume:65 Page:26-33
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Qing Xiangyun,Karimi Hamid Reza,Niu Yugang,Wang Xingyu

Funder

Fundamental Research Fund for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. Coordinated algorithms for distributed state estimation with synchronized phasor measurements;Yang;Appl Energy,2012

2. Power system static state estimation – Part I, II & III;Schweppe;IEEE Trans Power App Syst,1970

3. State estimation in electric power grids;Huang;IEEE Signal Proc Mag,2012

4. Jain A. Shivakumar NR. Power system tracking and dynamic state estimation. In: IEEE PSCE conf. Seattle, United States of American; 2009. p.1–8.

5. A new coordinated approach to state estimation in integrated power systems;Abbasi;Int J Electr Power Energy Syst,2013

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