Two-Level Ambient Oscillation Modal Estimation From Synchrophasor Measurements


This paper proposes a decentralized two-level structure for real-time modal estimation of enormous Power Systems using ambient synchrophasor knowledge. It introduces two distributed algorithms that match the structure well, specifically, one) decentralized frequency domain decomposition and a pair of) decentralized recursive stochastic subspace identification. As against present-day oscillation monitoring methodologies, the bulk of the algorithmic computations is finished domestically at the substation level in the 2-level framework. Substation modal estimates are sent to the control center where they are grouped, analyzed, and combined to extract system modal properties of native and inter-space modes. The framework and the proposed algorithms offer a scalable methodology for handling oscillation monitoring from a massive number of substations efficiently. The 2-level structure and also the 2 decentralized algorithms are tested using simulated information from commonplace take a look at systems and from archived real Power System synchrophasor data.

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