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dc.contributor.authorSYAI'IN, Mat
dc.contributor.authorSETIAWAN, Dedy Kurniawan
dc.contributor.authorHATTA, Agus Muhammad
dc.contributor.authorFARIDA, Yuniar
dc.date.accessioned2023-05-12T07:07:36Z
dc.date.available2023-05-12T07:07:36Z
dc.date.issued2025-05-12
dc.identifier.urihttps://repository.unej.ac.id/xmlui/handle/123456789/116117
dc.description.abstractDevelopment of electrical technology, especially converters technology, has made significant change inthe characteristics of electrical power systems. Moreover, the need of converting electrical signal from pure sine to distorted sine from renewable energy based generators makes the use of converter technology increase. Currently, the use of renewable energy based power plants together with traditional generators has become commonplace, commonly known as microgrid systems. This is intended to improve efficiency, reduce environmental pollution, and preserve nature. Microgrid systems have a very positive impact on the electric power system. However, microgrids also cause negative impacts such as harmonics. This research is developing active filter based on Neural Network concept. Neural Network is used as control strategies to produce signals opposite harmonic signals. The simulation results show that the active filter based on neural network can reduce the Total Harmonic Distortion (THD) in microgrid systems effectively.en_US
dc.language.isoenen_US
dc.publisherPROCEEDINGS BEST ICON 2018en_US
dc.subjectActive Filteren_US
dc.subjectNeural Networken_US
dc.subjectTotal Harmonic Distortionen_US
dc.subjectMicrogriden_US
dc.titleNeural Network Harmonic Filter for Microgrid Systemen_US
dc.typeArticleen_US


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