State Estimation in Electric Power Systems: A Generalized Approach

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Springer Science & Business Media, May 31, 1999 - Business & Economics - 394 pages
State Estimation in Electric Power Systems: A Generalized Approach provides for the first time a comprehensive introduction to the topic of state estimation at an advanced textbook level. The theory as well as practice of weighted least squares (WLS) is covered with significant rigor. Included are an in depth analysis of power flow basics, proper justification of Stott's decoupled method, observability theory and matrix solution methods. In terms of practical application, topics such as bad data analysis, combinatorial bad data analysis and multiple snap shot estimation are covered. The book caters both to the specialist as well as the newcomer to the field.
State estimation will play a crucial role in the emerging scenario of a deregulated power industry. Many market decisions will be based on knowing the present state of the system accurately.
State Estimation in Electric Power Systems: A Generalized Approach crystallizes thirty years of WLS state estimation theory and practice in power systems and focuses on techniques adopted by state estimation developers worldwide. The book also reflects the experience of developing industrial-grade state estimation software that is used in the USA, South America, and many other places in world.
 

Contents

REALTIME MODELING OF POWER NETWORKS
1
LEASTSQUARES AND MINIMUM NORM PROBLEMS
15
POWER FLOW EQUATIONS
63
NETWORK REDUCTION AND GAUSS ELIMINATION
103
NETWORK TOPOLOGY PROCESSING
143
OBSERVABILITY ANALYSIS
161
BASIC TECHNIQUES FOR BAD DATA PROCESSING
201
Chapter References
225
AC STATE ESTIMATOR
267
ESTIMATION BASED ON MULTIPLE SCANS OF MEASUREMENTS
283
FAST DECOUPLED STATE ESTIMATOR
313
NUMERICALLY ROBUST STATE ESTIMATORS
343
Appendices
369
BGivens Rotation
375
Historical Notes and References
387
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