In this paper a novel methodology for evaluating the external equivalent model of a distributed network is presented. The proposed method is based on a non-linear parameter identiﬁcation process which involves an artiﬁcial dynamic system, whose dynamics are explicitly designed to be stable by adopting the Lyapunov theory. This dynamic identiﬁcationmethod is competitive with existing reductionmethods, since it does not require system linearization or any a priori information about the system under study. Few measurements at boundary nodes are required to obtain the essential information regarding the external system. Even if these measurements are strongly corrupted by noise, the algorithm is quite insensible to it. Due to its ability to be auto-adaptive at any changes in the system operating conditions and to its great speed convergence, the identiﬁcation procedure can be usefully applied for real-time applications.
|Autori interni:||DE TUGLIE, Enrico Elio|
|Titolo:||Dynamic Identification of External Equivalents in Distribution Networks|
|Rivista:||ELECTRIC POWER SYSTEMS RESEARCH|
|Data di pubblicazione:||2011|
|Digital Object Identifier (DOI):||10.1016/j.epsr.2011.01.010|
|Appare nelle tipologie:||1.1 Articolo in rivista|