NDLI: Estimating electromechanical oscillation modes from synchrophasor measurements in bulk power grids using FSSI

Content Provider	IET Digital Library
Author	Jiang, Tao Li, Xue Yuan, Haoyu Jia, Hongjie Li, Fangxing
Abstract	Multi-order stochastic subspace identification (MOSSI) has been extensively used to estimate the electromechanical oscillation modes from probing, ambient and ringdown data. It has been validated with good performances, while the computational burden is still a major obstacle. This study develops a fast iterative MOSSI (FSSI) approach for computational enhancement of MOSSI in mode estimation. In the proposed approach, an initial cluster of eigenvalues is formulated through FSSI with repetitive calculations (RCs), and electromechanical oscillation mode separation (EOMS) is utilised to discriminate the electromechanical modes. The RCs within the FSSI is calculated through changing the model order successively over the defined range given by a mean of singular values based order determination strategy. Additionally, the proposed approach is highly reliable against prevalent measurement noises owing to RCs and the EOMS. The performance of the proposed method is evaluated in Kundur's two-area test system by comparing with MOSSI, Prony and autoregressive moving average exogenous. Its applicability for both the ringdown and ambient data is also demonstrated with the phasor measurement units field-measurement data from the China Southern Power Grid. The results confirmed the accuracy, robustness and efficiency of the proposed approach for oscillation mode estimation.
Starting Page	2347
Ending Page	2358
Page Count	12
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 10, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1492
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-02-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bulk Power Grid China Southern Power Grid Computational Enhancement Eigen Values And Eigen Function Eigenvalues Initial Cluster Electromechanical Oscillation Mode Estimation Electromechanical Oscillation Mode Separation EOMS Fast Iterative MOSSI Approach FSSI Approach Interpolation And Function Approximation Iterative Method Kundur Two-area Test System Linear Algebra Mode Estimation Multiorder Stochastic SubSpace Identification Numerical Analysis Pattern Clustering Phasor Measurement Phasor Measurement Units Field-measurement Data Power Grid Power System Control Power System Measurement And Metering Power System Stability RC Repetitive Calculations Singular Value Statistics Stochastic Linearised SCUC Synchrophasor Measurement
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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