1. Shodhbhagirathi @ IITR
  2. ELECTRICAL ENGINEERING
  3. MASTERS' THESES (Electrical Engg)
Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/13466
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dc.contributor.authorSivannarayana, S.-
dc.date.accessioned2014-12-06T06:57:09Z-
dc.date.available2014-12-06T06:57:09Z-
dc.date.issued2000-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/13466-
dc.guideSharma, J.-
dc.guideDas, B.-
dc.description.abstractA rapid increase in harmonic currents and voltages in the present AC systems due to large introduction of solid state switching devices. It is imperative to know the harmonic parameters such as magnitude and phase angles. This is essential for designing filters for eliminating and reducing the effects of harmonics in a power system. In the present work, An artificial neural network based approach has been presented to estimate the harmonic source currents injected into the system. Three-layered feed 'forward structured neural network was constructed with backpropagation learning algorithm. Neural network was trained and tested with the 18-bus example system, the results obtained from the tests showed acceptable estimatesen_US
dc.language.isoenen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.subjectESTIMATION AND ANALYSIS HARMONICSen_US
dc.subjectPOWER SYSTEMen_US
dc.subjectAC SYSTEMen_US
dc.titleESTIMATION AND ANALYSIS OF HARMONICS IN POWER SYSTEMen_US
dc.typeM.Tech Dessertationen_US
dc.accession.numberG10178en_US
Appears in Collections:MASTERS' THESES (Electrical Engg)

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