Ning Zhou

TL;DR: In this article, the authors used the Numerical algorithm for Subspace State Space System IDentification (N4SID) to extract dynamic parameters from phasor measurements collected on the western North American Power Grid.

TL;DR: In this article, the performance properties of three mode-estimation block-processing algorithms from the perspective of near real-time automated stability assessment are demonstrated and examined, and issues addressed include: stability assessment requirements, automated subset selecting identified modes; using algorithms in an automated format; data assumptions and quality; and expected algorithm estimation performance.

TL;DR: In this article, a regularized robust recursive least squares (R3LS) method was proposed for online estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data.

TL;DR: In this article, an adaptive filtering approach is proposed to estimate the covariance matrix of process noise (Q) and measurement noise (R) based on innovation and residual to improve the dynamic state estimation accuracy of the extended Kalman filter.

TL;DR: This paper compares the performance of four Bayesian-based filtering approaches in estimating dynamic states of a synchronous machine using phasor measurement unit data and makes some recommendations for the proper use of the methods.