The Technology of Suppressing Harmonics with Complex Neural Network is Applied to Microgrid

According to the traits of harmonics in microgrid, a new CANN controller which combines BP and RBF neural network is proposed to control APF to detect and suppress harmonics. This controller has the function of current prediction. By simulation in Matlab / Simulink, this design can shorten the delay...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 322; no. 7; pp. 72031 - 72035
Main Authors Zhang, Jing, Li, Zhan-Ying, Wang, Yan-ping, Li, Yang, Zong, Ke-yong
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2018
Subjects
Controllers
Delay time
Distributed generation
Harmonics
Neural networks
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Summary:According to the traits of harmonics in microgrid, a new CANN controller which combines BP and RBF neural network is proposed to control APF to detect and suppress harmonics. This controller has the function of current prediction. By simulation in Matlab / Simulink, this design can shorten the delay time nearly 0.02s (a power supply current cycle) in comparison with the traditional controller based on ip-iq method. The new controller also has higher compensation accuracy and better dynamic tracking traits, it can greatly suppress the harmonics and improve the power quality.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/322/7/072031