Summary:
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.
JCR Impact Factor and WoS quartile: 6,600 - Q1 (2022)
DOI reference:
https://doi.org/10.1109/59.476067
Published on paper: November 1995.
Published on-line: November 1995.
Citation:
G.N. Ramaswamy, G.C. Verghese, L. Rouco, C. Vialas, C.L. deMarco, Synchrony, aggregation, and multi-area eigenananlysis. IEEE Transactions on Power Systems. Vol. 10, nº. 4, pp. 1986 - 1993, November 1995. [Online: November 1995]
