State Estimation in Electric Power Systems: A Generalized ApproachState 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 |
Other editions - View all
State Estimation in Electric Power Systems: A Generalized Approach A. Monticelli Limited preview - 2012 |
State Estimation in Electric Power Systems: A Generalized Approach A. Monticelli No preview available - 2012 |
Common terms and phrases
active power additional affected algorithm analysis angle applied approach assigned assumed bad data become branch breaker buses closed computed connected Consider constraints correction corresponding covariance matrix decoupled determined discussed distribution elements elimination equal equations equivalent errors estimation Example expressed factorization Figure follows function gain matrix given Hence identified IEEE Trans impedance injection injection measurements introduced islands iteration Jacobian matrix linear magnitude means measurement model measurements meter method Monticelli multiple network model Newton nodes normalized residual Note observable obtained optimal orthogonal parameter performed pivot pmeas possible power flow power system presented problem processing pseudo-measurements reactive reduced reference represented shown shows shunt solution solving status Step switching Syst topology transformer transmission triangular unknown unobservable updated values variables variance vector voltage weighted written yields zero


