NDLI: Variational mode decomposition-based power system disturbance assessment to enhance WA situational awareness and post-mortem analysis

Content Provider	IET Digital Library
Author	Jena, Manas Kumar Samantaray, Subhransu Ranjan Panigrahi, Bijaya Ketan
Abstract	This study presents a variational mode decomposition (VMD)-based approach to analyse wide-area (WA) measurements based signals. The commonly used empirical mode decomposition (EMD) has limitations such as sensitivity to noise and sampling rate. However, VMD is an entirely non-recursive algorithm, where the modes are extracted concurrently. These modes help in extracting dynamic patterns of different power system disturbances. The performance of the proposed scheme is extensively validated on the IEEE-39 bus New England test system. The modes generated and the frequency deviation contours of the disturbances including generation loss, fault and line outage are assessed using VMD and the results provide improved performance in terms of decomposition quality compared with the existing EMD technique. Furthermore, a data-mining model known as decision tree is used to classify different power system disturbances based on intrinsic mode functions generated through VMD. The suggested method shows improved decomposition quality and classification accuracy. Thus, the proposed scheme is a potential candidate for improving WA situational awareness along with a post-mortem analysis of real events occurring in a power system.
Starting Page	3287
Ending Page	3298
Page Count	12
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 13, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1827
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-04-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Data-mining Model Decision Tree Empirical Mode Decomposition Fault Outage Generation Loss IEEE-39 Bus New England Test System Intrinsic Mode Function Line Outage Post-mortem Analysis Power Generation Fault Power Generation Reliability Power System Measurement Power System Measurement And Metering Reliability Variational Mode Decomposition-based Power System Disturbance Assessment WA Situational Awareness Wide-area Measurement Based Signal
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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