
Cyber-Physical Power Systems State Estimation
Description
Key Features
- Develops advanced approaches to smart grid real-time monitoring through quasi-static model state estimation and non-synchronized measurements system models
- Presents a novel, extended optimization, physics-based model which identifies and corrects for measurement error presently egregiously discounted in classic models
- Demonstrates how to embed cyber-physical security into smart grids for real-time monitoring
- Introduces new approaches to calculate power flow in distribution systems and for estimating distribution system states
- Incorporates machine-learning based approaches to complement the state estimation process, including pattern recognition-based solutions, principal component analysis and support vector machines
Readership
Power system researchers primarily situated in universities and research institutions, including Ph.D. students, professors, and research engineers. (primary)
Professional engineers and utility engineers responsible for power grid real-time monitoring, software developments and maintenance (secondary)
Table of Contents
1. Introduction to Cyber-Physical Power Systems State Estimation
2. Real-Time Operation of Power Systems
3. Power Flow in Electric Power Systems
4. Quasi Static State Estimation in Electric Power Systems
5. Qualitative Characteristics of Measurement Sets
6. Gross Errors Processing in Measurements
7. Methodology for Error Processing based on the Innovation Index
8. Data driven state estimation solutions
9. Dynamic State Estimation
Product details
- No. of pages: 292
- Language: English
- Copyright: © Elsevier 2021
- Published: May 14, 2021
- Imprint: Elsevier
- Paperback ISBN: 9780323900331
- eBook ISBN: 9780323903226
About the Authors
Arturo Bretas
Affiliations and Expertise
Newton Bretas
Affiliations and Expertise
Joao London Jr
Affiliations and Expertise
Breno Carvalho
Affiliations and Expertise
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