Extracting inter-area oscillation modes using local measurements and data-driven stochastic subspace technique

Abstract In this paper, a data-driven stochastic subspace identification (SSI-DATA) technique is proposed as an advanced stochastic system identification (SSI) to extract the inter-area oscillation modes of a power system from wide-area measurements. For accurate and robust extraction of the modes’...

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Bibliographic Details
Main Authors: Deyou YANG, Guowei CAI, Kevin CHAN
Format: Article
Published: IEEE 2017-03-01
Series:Journal of Modern Power Systems and Clean Energy
Online Access:http://link.springer.com/article/10.1007/s40565-017-0271-6