NDLI: Fault analysis in solar–wind microgrid using multi-resolution analysis and Stockwell transform-based statistical analysis

Content Provider	IET Digital Library
Author	Ray, Debopoma Kar Chattopadhyay, Surajit
Abstract	This study deals with the unsymmetrical fault assessment in a solar–wind hybrid microgrid, analysing the grid current signature, multi-resolution analysis of discrete wavelet transform and Stockwell transform coefficient's statistical analysis-based best-fit solution. The recorded grid current at normal and unsymmetrical faults is analysed using these techniques and an algorithm has been developed for effective fault analysis in the grid. Practical validation of the work has been done with the data obtained from the field study and percentage deviations of the optimised results from theoretical calculations have been evaluated. Comparative study of the proposed technique is done with the data collected from the industry to authenticate the effectiveness of the approach.
Starting Page	639
Ending Page	650
Page Count	12
ISSN	17518822
Volume Number	14
e-ISSN	17518830
Issue Number	Issue 6, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2019.0279
Journal	IET Science, Measurement & Technology
Publisher Date	2019-12-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Discrete Wavelet Transform Distributed Power Generation Effective Fault Analysis Fault Diagnosis Grid Current Signature Hybrid Power System Integral Transforms Multiresolution Analysis Normal Fault Recorded Grid Current Solar–wind Hybrid Microgrid Solar–wind Microgrid Statistical Analysis Statistics Stockwell Unsymmetrical Fault Unsymmetrical Fault Assessment Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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