Next Article in Journal
Novel Frequency Swapping Technique for Conducted Electromagnetic Interference Suppression in Power Converter Applications
Next Article in Special Issue
A Frequency Control Approach for Hybrid Power System Using Multi-Objective Optimization
Previous Article in Journal
A Causal and Real-Time Capable Power Management Algorithm for Off-Highway Hybrid Propulsion Systems
Previous Article in Special Issue
Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2017, 10(1), 23; doi:10.3390/en10010023

A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion

School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Received: 29 August 2016 / Revised: 2 December 2016 / Accepted: 19 December 2016 / Published: 26 December 2016
(This article belongs to the Special Issue Electric Power Systems Research 2017)
View Full-Text   |   Download PDF [7433 KB, uploaded 26 December 2016]   |  

Abstract

At present, the research is still in the primary stage in the process of fault disturbance energy transfer in the multilevel modular converter based high voltage direct current (HVDC-MMC). An urgent problem is how to extract and analyze the fault features hidden in MMC electrical information in further studies on the HVDC system. Aiming at the above, this article analyzes the influence of AC transient disturbance on electrical signals of MMC. At the same time, it is found that the energy distribution of electrical signals in MMC is different for different arms in the same frequency bands after the discrete wavelet packet transformation (DWPT). Renyi wavelet packet energy entropy (RWPEE) and Renyi wavelet packet time entropy (RWPTE) are proposed and applied to AC transient fault feature extraction from electrical signals in MMC. Using the feature extraction results of Renyi wavelet packet entropy (RWPE), a novel recognition method is put forward to recognize AC transient faults using the information fusion technology. Theoretical analysis and experimental results show that the proposed method is available to recognize transient AC faults. View Full-Text
Keywords: transient faults; MMC; discrete wavelet packet transformation; Renyi entropy; feature extraction; fault recognition transient faults; MMC; discrete wavelet packet transformation; Renyi entropy; feature extraction; fault recognition
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, J.; Dou, Y.; Li, Y.; Li, J.; Li, G. A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion. Energies 2017, 10, 23.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top