Open AccessApplication of an improved harmonic detection algorithm in harmonic control of charging station
Author(s) -
Kunfeng Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1311/1/012007
Subject(s) - harmonic , charging station , algorithm , rectifier (neural networks) , computer science , engineering , harmonic analysis , power (physics) , electronic engineering , electrical engineering , electric vehicle , acoustics , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
With the rapid prosperity of the electric vehicle industry, the demand for charging stations providing charging services has become increasingly strong, which followed by serious power quality problems. Because the current level of the charging station changes gradually with time, the harmonic current generated by the charging station will also change gradually with time. The influence of the low-pass filter leads to the slow start-up and tracking speed of harmonic current detection method based on ip - iq algorithm, which cannot meet the need of harmonic control in charging station. In this paper, the harmonic characteristics and basic structure of six-pulse rectifier charging pile are analyzed in detail, and the charging station model based on six-pulse rectifier charging pile is established. At the same time, in order to meet the need of harmonic suppression, a harmonic current detection algorithm based on variable step size LMS/LMF algorithm is proposed and analyzed comprehensively. The simulation and experimental results show that compared with the traditional harmonic detection algorithm, the improved harmonic detection algorithm has obvious advantages in many aspects, such as start-up and tracking speed, and has good engineering application prospects.