NDLI: The new method of harmonic detection in microgrid electric vehicle charging stations based on the improved HHT

Content Provider	IEEE Xplore Digital Library
Author	Peng Li Wanping Li Chengjia Liu Xiangning Xiao Chunlin Guo
Copyright Year	2012
Description	Author affiliation: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), North China Electric Power University, Baoding 071003, Hebei, China (Peng Li; Wanping Li; Chengjia Liu) \|\| State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), North China Electric Power University, Changping 102206, Beijing, China (Xiangning Xiao; Chunlin Guo)
Abstract	The appearance of microgrid solves the shortcomings of distributed generation and attracts the attention of the whole world. What's more, it has brought both opportunities and challenges for the development of electric vehicle charging stations. But due to the increasing use of electric vehicle chargers, the harmonic pollution of microgrid is becoming more and more serious, and it causes harm to both electric equipments and large power grid. Taking measures to govern the harmonic pollution is imperative, but before governance, the accurate and real-time detection of harmonic is indispensible. So this paper puts forward to use the improved HHT to detect the harmonics. The improved HHT combines the support vector regression machine and the mirror extension to improve the end effect of HHT and make the instantaneous frequency and amplitude become more meaningful. What's more, the improved HHT can accurately detect the starting and ending time of harmonic disturbances. Through the simulation results, it can be confirmed that this method is efficient and applicable for the harmonic detection in microgrid electric vehicle charging stations.
Starting Page	1
Ending Page	6
File Size	1861821
Page Count	6
File Format	PDF
ISBN	9781467328685
e-ISBN	9781467328685
DOI	10.1109/PowerCon.2012.6401342
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Large Hadron Collider Radio frequency support vector regression (SVR) empirical mode decomposition (EMD) end effect electric vehicle (EV) harmonic detection Hilbert-Huang Transform (HHT) Hilbert marginal spectrum microgrid
Content Type	Text
Resource Type	Article

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