Title :
The new method of harmonic detection in microgrid electric vehicle charging stations based on the improved HHT
Author :
Peng Li ; Wanping Li ; Chengjia Liu ; Xiangning Xiao ; Chunlin Guo
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China
fDate :
Oct. 30 2012-Nov. 2 2012
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.
Keywords :
Hilbert transforms; battery powered vehicles; distributed power generation; mirrors; power apparatus; power distribution faults; power grids; power system harmonics; regression analysis; support vector machines; Hilbert-Huang transform; distributed generation; electric equipment; harmonic disturbance; harmonic pollution detection; improved HHT; instantaneous amplitude; instantaneous frequency; microgrid electric vehicle station; mirror extension; power grid; support vector regression machine; Large Hadron Collider; Radio frequency; Hilbert marginal spectrum; Hilbert-Huang Transform (HHT); electric vehicle (EV); empirical mode decomposition (EMD); end effect; harmonic detection; microgrid; support vector regression (SVR);
Conference_Titel :
Power System Technology (POWERCON), 2012 IEEE International Conference on
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-2868-5
DOI :
10.1109/PowerCon.2012.6401342