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A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter | IEEE Journals & Magazine | IEEE Xplore

A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter


Abstract:

For most existing aperiodic fault diagnosis algorithms of microgrid inverter, because of the common aperiodic processing features, they have relatively higher amount of a...Show More

Abstract:

For most existing aperiodic fault diagnosis algorithms of microgrid inverter, because of the common aperiodic processing features, they have relatively higher amount of algorithm startup, calculation, and complexity. These features increase the hardware requirements and realization difficulty, greatly affect the practicability. In order to improve above-mentioned problems, a practical fault diagnosis algorithm is investigated. In this paper, first, aperiodic corrected-second low-frequency processing method is proposed to get aperiodic small low-frequency data (ASLFD) by a simple way in the real time, which greatly reduces the amount of algorithm startup and corresponding calculation. Second, these ASLFD are processed by the real-time normalization method. Next, the degree of asymmetry and distortion degree of root mean square are extracted, respectively. Furthermore, the feature variables and results are realized through the logical operations. Compared with the existing fault diagnosis algorithms, the proposed algorithm has lower amount of startup and calculation, smaller complexity, and easy realization, which are conducive to practical applications. The detailed experimental results and comparisons are shown to validate the proposed algorithm.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 15, Issue: 7, July 2019)
Page(s): 3889 - 3898
Date of Publication: 28 November 2018

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I. Introduction

Microgrid is a special cyber-physical system [1], [2], which tightly integrates with its users and fuses many abstract knowledge including management, optimization, control, data processing, and so forth. This fusion feature of multi-information and technology can make microgrid a good performances, meanwhile, it also inevitably brings many contradictions and problems [3]–[8]. Fault diagnosis of the open switch of microgrid inverter is one of these research topics.

References

References is not available for this document.