Risk‐oriented PMU placement approach in electric power systems
Author:
Affiliation:
1. Pacific Northwest National Laboratory900 Battelle BlvdRichlandWAUSA
2. Bradley Department of Electrical Computer EngineeringVirginia Polytechnic Institute and State UniversityNorthern Virginia CenterFalls ChurchVAUSA
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2019.0957
Reference41 articles.
1. Non-Linear Dynamic Power System State Estimation
2. Dynamic state estimation of power system harmonics using Kalman filter methodology
3. Incorporating nonlinearities of measurement function in power system dynamic state estimation
4. Application of a robust algorithm for dynamic state estimation of a power system
5. Dynamic‐state‐estimation scheme including nonlinear measurement function considerations;Shih K.;IEE Proc., Gener.’, Transm. Distrib.,2002
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