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Fault analysis in solar–wind microgrid using multi-resolution analysis and Stockwell transform-based statistical analysis
IET Science, Measurement & Technology ( IF 1.4 ) Pub Date : 2020-07-27 , DOI: 10.1049/iet-smt.2019.0279
Debopoma Kar Ray 1 , Surajit Chattopadhyay 2
Affiliation  

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.

中文翻译:

基于多分辨率分析和基于Stockwell变换的统计分析的太阳风微电网故障分析

这项研究涉及太阳风混合微电网中的不对称故障评估,分析电网电流信号,离散小波变换的多分辨率分析以及基于统计分析的最佳拟合解决方案。使用这些技术可以分析正常和非对称故障下的记录的电网电流,并且已经开发出一种算法,可以对电网进行有效的故障分析。使用从现场研究中获得的数据对工作进行了实际验证,并评估了理论计算得出的优化结果的百分比偏差。对所提出技术的比较研究是从行业中收集的数据进行的,以验证该方法的有效性。
更新日期:2020-08-20
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