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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Published in | IOP conference series. Materials Science and Engineering Vol. 322; no. 7; pp. 72031 - 72035 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.03.2018
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/322/7/072031 |