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Power System State Estimation
Abstract
Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management. It uses an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency.Includes numerous tutorial examples that fully analyze problems posed by the inclusion of current measurements in existing state estimators and illustrate practical solutions to these challenges.Written by two expert researchers in the field, Power System State Estimation extensively details topics never before covered in depth in any other text, including novel robust state estimation methods, estimation of parameter and topology errors, and the use of ampere measurements for state estimation. It introduces various methods and computational issues involved in the formulation and implementation of the weighted least squares (WLS) approach, presents statistical tests for the detection and identification of bad data in system measurements, and reveals alternative topological and numerical formulations for the network observability problem.
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Cited by
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Secure Control Systems: A Quantitative Risk Management Approach
(2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364709 · Cited by 316
False data injection attacks with incomplete information against smart power grids
Rahman, M. A., & Mohsenian-Rad, H. (2012) · 2012 IEEE Global Communications Conference (GLOBECOM) · doi:10.1109/glocom.2012.6503599 · Cited by 313
A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion
Ding, W., Jing, X., Yan, Z., & Yang, L. T. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.12.001 · Cited by 230
Bayesian State Estimation for Unobservable Distribution Systems Via Deep Learning
Mestav, K. R., Luengo-Rozas, J., & Tong, L. (2019) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2019.2919157 · Cited by 216
Metadata
- Authors
- Abur, A., & Expósito, A. G.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2004-03-24
- OpenAlex
- W1598852905
- Cited by
- 2,974
- References
- 0
- FWCI
- 13.23
- Type
- book
- Language
- en
- Open access
- closed
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