naim logic (6 Ergebnisse)

Taschenbuch. Zustand: Neu. Power System State Estimation | Parameter Error Detection, Identification, and Correction | Naim Logic | Taschenbuch | 156 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838332352 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Zustand: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Within energy management systems, state estimation is a key function for building a network model. The performance of most other application programs strongly depends on the accuracy of data provided by the state estimator. A network real-time model is built from a combination of snapshots of measurements and static network parameter data. The measured data are subject to well known errors. Network parameters, in general, may be erroneous as a result of inaccurately provided data, transmission line sags on hot days, error in calibration and calculation. The performance of a state estimator, therefore, depends on the accuracy of the measured data as well as the parameters of the network model. Bad data processing is now a standard subroutine in state estimation algorithm. However, definitive research results on the processing of parameter errors are rare. This book describes an approach to network parameter estimation. An appropriate method for network parameter error detection, identification, and correction is developed. The method shown is found to be highly accurate for the cases of single as well as multiple parameter errors. 156 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Logic NaimNaim Logic received his BS degree from University of Sarajevo, MS degree from University of Zagreb, and PhD degree from Arizona State University, all in Electrical Engineering. He is currently with Salt River Project, Ar.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Within energy management systems, state estimation is a key function for building a network model. The performance of most other application programs strongly depends on the accuracy of data provided by the state estimator. A network real-time model is built from a combination of snapshots of measurements and static network parameter data. The measured data are subject to well known errors. Network parameters, in general, may be erroneous as a result of inaccurately provided data, transmission line sags on hot days, error in calibration and calculation. The performance of a state estimator, therefore, depends on the accuracy of the measured data as well as the parameters of the network model. Bad data processing is now a standard subroutine in state estimation algorithm. However, definitive research results on the processing of parameter errors are rare. This book describes an approach to network parameter estimation. An appropriate method for network parameter error detection, identification, and correction is developed. The method shown is found to be highly accurate for the cases of single as well as multiple parameter errors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Within energy management systems, state estimation is a key function for building a network model. The performance of most other application programs strongly depends on the accuracy of data provided by the state estimator. A network real-time model is built from a combination of snapshots of measurements and static network parameter data. The measured data are subject to well known errors. Network parameters, in general, may be erroneous as a result of inaccurately provided data, transmission line sags on hot days, error in calibration and calculation. The performance of a state estimator, therefore, depends on the accuracy of the measured data as well as the parameters of the network model. Bad data processing is now a standard subroutine in state estimation algorithm. However, definitive research results on the processing of parameter errors are rare. This book describes an approach to network parameter estimation. An appropriate method for network parameter error detection, identification, and correction is developed. The method shown is found to be highly accurate for the cases of single as well as multiple parameter errors.