Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4007
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dc.contributor.authorDaramukkala, Pavankumar-
dc.contributor.authorMohanty, Kanungo Barada-
dc.contributor.authorKarthik, Markala-
dc.contributor.authorSwain, Sushree Diptimayee-
dc.contributor.authorBehera, Bhanu Pratap-
dc.contributor.authorVenkata Ramana, Naik N-
dc.date.accessioned2023-04-12T13:16:49Z-
dc.date.available2023-04-12T13:16:49Z-
dc.date.issued2023-03-
dc.identifier.citationIEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT), Male, Maldives, 11-12 March 2023en_US
dc.identifier.urihttp://hdl.handle.net/2080/4007-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractThis paper presents a normalized sigmoid function least mean square (NSF-LMS) based adaptive filtering method for shunt hybrid active power filter (SHAPF) for enhancement of power quality at the distribution level. The proposed adaptive filter is designed for the reference current generation and mitigation of current harmonics in the source, and for reducing the %THD to the IEEE-519 standard value. The performance of the SHAPF system with proposed NSF-LMS method is analyzed for steady-state as well as transient conditions. The passive power filter (PPF) is designed for 5 th and 7 th harmonic order. The simulations are performed using MATLAB/Simulink software, and the results are analyzed. The OPAL-RT digital simulator was used to run the simulations in real time, and the results were reported.en_US
dc.subjectAdaptive filteren_US
dc.subjectharmonicsen_US
dc.subjectLeast mean square (LMS)en_US
dc.subjectpassive power filter (PPF)en_US
dc.subjectpower qualityen_US
dc.subjectshunt hybrid active power (SHAPF)en_US
dc.titleNormalized Sigmoid Function LMS Adaptive Filter based Shunt Hybrid Active Power Filter for Power Quality Improvementen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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