Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Maximum likelihood identification of power system dynamic equivalents
Ist Teil von
1974 IEEE Conference on Decision and Control including the 13th Symposium on Adaptive Processes, 1974, p.579-586
Ort / Verlag
IEEE
Erscheinungsjahr
1974
Link zum Volltext
Quelle
IEEE Xplore Digital Library
Beschreibungen/Notizen
This paper presents a technique for identifying unknown parameters for a dynamic equivalent of a portion of an electric power system from on-line measurements made in another portion of the system. The resulting model is suitable for use in a standard transient stability program such as those used by system analysts for evaluating the security of a proposed or existing system. The method is based on stochastic system identification using the maximum likelihood technique and relies on natural system fluctuation. This paper describes the mathematical development of a maximum likelihood identifier for a dynamic model of a power system. The resulting identification program was tested using a simulated power system tuned to match measurements made on a real system.