Description: Power System State Estimation offers an up-to-date account of the strategies used in state estimation of electric power systems. This reference illustrates the significant role of state estimation in overall energy management and presents an abundance of examples, models, tables, and guidelines to examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. Written by two expert researchers in the field, this reference 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.
Review Quotes: "This is a comprehensive book on state estimation intended for students and practitioners in power engineering. It is also of high interest for applied mathematicians working in statistics and operations research. Easy-to-read and enjoyable... the book is well structured and most theoretical developments are illustrated with insightful examples, State-of-the-art developments as well as historical references are provided. Certainly, this book constitutes a fundamental addition to the state estimation literature by two well-known experts on the subject." - IEEE Power & Energy Magazine, Vol. 3, No. 2, March/April 2005 "...brings a fresh perspective to the problem of state estimation...offers a blend of theory and mathematical rigor that is unique and very exciting." -- Fernando L. Alvarado, The University of Wisconsin, Madison, Wisconsin, USA "Throughout the book, the principles being explained are illustrated with exceptionally clear line drawings, appropriate mathematical formulations and with a large number of excellent scanning electron micrographs. ...The book provides an excellent reference for materials engineers and designers who may be confronted with wear problems in design. It would also serve as a graduate or senior-level text in a materials science course on wear." -Richard D. Waltein, P.E., JOM On-Line, Jan. 2006