Open AccessFault analysis in solar–wind microgrid using multi‐resolution analysis and Stockwell transform‐based statistical analysis
Author(s) -
Kar Ray Debopoma,
Chattopadhyay Surajit
Publication year - 2020
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2019.0279
Subject(s) - microgrid , fault (geology) , computer science , solar wind , statistical analysis , wind power , environmental science , remote sensing , aerospace engineering , engineering , artificial intelligence , electrical engineering , seismology , geology , statistics , physics , mathematics , plasma , control (management) , quantum mechanics
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.