Synchrony, aggregation, and multi-area eigenanalysis

Autor:	C.L. DeMarco, Luis Rouco, George C. Verghese, C. Vialas, G.N. Ramaswamy
Rok vydání:	1995
Předmět:	State variable Basis (linear algebra) Generalization Control theory Computer science Computation Modal analysis Pattern recognition (psychology) Stability (learning theory) Energy Engineering and Power Technology Electrical and Electronic Engineering Cluster analysis Algorithm
Zdroj:	IEEE Transactions on Power Systems. 10:1986-1993
ISSN:	1558-0679 0885-8950
DOI:	10.1109/59.476067
Popis:	This paper explores synchrony, a generalization of the concept of slow-coherency, and outlines how it can form the basis for efficient construction of dynamic equivalents by aggregation. The paper describes a novel approach for selecting the inter-area modes that are to be represented by the aggregate model. A clustering algorithm for recognizing approximate synchrony is presented, and improvements over the standard slow-coherency recognition algorithm are noted. Using for illustration a 23-generator power system model with 325 state variables, the paper demonstrates the effectiveness of a synchrony-based approach to decomposing the eigenanalysis of the electromechanical modes, separating the computation of inter-area and intra-area modes in the style of multi-area selective modal analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6008012630123629c5ed22f677680f5f https://doi.org/10.1109/59.476067 Zobrazit plný text záznamu