NDLI: Identification of coherency and critical generators set in real-time signal

Content Provider	IET Digital Library
Author	Shweta Kishor, Nand Uhlen, Kjetil Mohanty, Soumya R.
Abstract	For a reliable and stable operation of a power system network, it is important to monitor the dynamics of the system. For this purpose, in real system phasor measurement units (PMUs) have been installed to give information about the grid conditions. Due to a large interconnected non-linear system, there is a possibility of system collapse due to unusual high stress. Hence, it is essential to detect the generators going out of step at an early stage and separate them. This study presents two algorithms: first one in meant to identify the coherency between the generators in real-time signal and second algorithm functions to quickly determine the critical generators. The algorithm for coherency identification between the generators uses time–frequency coherency based on smoothed pseudo-Wigner–Ville distribution signal processing technique. The proposed scheme is validated on several PMUs signals. Further, the Lagrangian method is applied to detect the critical sets of generators going out of step following the severe fault occurrence in the line. This is based on the calculation of energy. The suggested approach discussed in this study can be applied to dynamically reduce a large power system.
Starting Page	4456
Ending Page	4464
Page Count	9
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 18, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0327
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-07-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.C. Machine Coherence Coherency Identification Combinatorial Mathematics Critical Generators Set Electric Generators Fault Occurrence Interconnected Nonlinear System Lagrangian Method Mathematical Analysis Phasor Measurement PMUs Signal Power System Economics Power System Identification Power System Interconnection Power System Managemen Power System Measurement And Metering Power System Network Power System Operation Real System Phasor Measurement Units Real-time Signal Set Theory Signal Processing Smoothed Pseudo-Wigner–Ville Distribution Signal Processing Technique Statistics System Collapse Time-frequency Analysis Time–frequency Coherency Wigner Distribution
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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