Observability of nonlinear power system dynamics using synchrophasor data-Reference-Cited by-同舟云学术

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Observability of nonlinear power system dynamics using synchrophasor data

Published:2015-08-12 Issue:5 Volume:26 Page:952-967
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int. Trans. Electr. Energ. Syst.

Author:

Wang Guanqun¹,Liu Chen-Ching¹²,Bhatt Navin³,Farantatos Evangelos³,Patel Mahendra³

Affiliation:

1. Department of Electrical Engineering and Computer Science; Washington State University; 99163 Pullman WA USA

2. School of Mechanical and Materials Engineering; University College Dublin; Dublin 4 Ireland

3. Electric Power Research Institute; 94303-0813 Palo Alto CA USA

Funder

Electric Power Research Institute (EPRI)

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference34 articles.

1. Dynamic state estimation in power system by applying the extended Kalman filter with unknown inputs to phasor measurements;Ghahremani;IEEE Transactions on Power Systems,2011

2. Power system state estimation using PMUs with imperfect synchronization;Yang;IEEE Transactions on Power Systems,2013

3. Farantatos E Huang R Cokkinides GJ Meliopoulos APS Real-time power system dynamic equivalencing to preserve system center of oscillations via PMU-based dynamic state estimator IEEE PES General Meeting 2013 1 5

4. PMU based monitoring of rotor angle dynamics;Yan;IEEE Transactions on Power Systems,2011

5. Real-time monitoring of short-term voltage stability using PMU data;Dasgupta;IEEE Transactions on Power Systems,2013

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2. Robust Particle Filter Design With an Application to Power System State Estimation;IEEE Transactions on Power Systems;2024-01

3. Computational Performance Enhancement Strategies for Risk-Averse Two-Stage Stochastic Generation and Transmission Network Expansion Planning;IEEE Transactions on Power Systems;2024-01

4. A Data-Driven Koopman Approach for Power System Nonlinear Dynamic Observability Analysis;IEEE Transactions on Power Systems;2023

5. Observability and detectability analyses for dynamic state estimation of the marginally observable model of a synchronous machine;IET Generation, Transmission & Distribution;2021-12-27

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