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A back propagation network based MPPT algorithm for grid-tied wind energy system with Vienna Rectifier
School of Electrical Engineering, Vellore Institute Technology, Vellore, 632014, India.
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för produktionssystem (PS). (PTW)
2019 (Engelska)Ingår i: International Journal of Renewable Energy Research, ISSN 1309-0127, Vol. 9, nr 2, s. 1097-1107Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This paper presents a boost type Vienna Rectifier with a back propagation network algorithm for maximum power point tracking (MPPT) from the wind energy system. The preferred control algorithm deals with non-linear problems with improved conversance precision and reduced learning time. In this system, boost type Vienna Rectifier is employed as a machine side converter for single stage energy conversion of AC to DC with the enhanced output voltage and a grid side converter worked for DC to AC conversion. Vienna Rectifier facilitates power flow with high power density, continuous sinusoidal input current, improved power factor and offers low voltage stress across the switches. The proposed system is designed to meet the load power demand of 1kW Active power with the combined contribution of the wind and the main grid. The resulting analysis of the Vienna Rectifier with the aforementioned control algorithm is validated through Matlab-Simulink for variable wind speeds. © 2019, International Journal of Renewable Energy Research.

Ort, förlag, år, upplaga, sidor
2019. Vol. 9, nr 2, s. 1097-1107
Nyckelord [en]
Elman back propagation neural networkGrid side converterPermanent magnet synchronous generator (PMSG), Vienna Rectifier, Wind energy system
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:hv:diva-14475Scopus ID: 2-s2.0-85068822887OAI: oai:DiVA.org:hv-14475DiVA, id: diva2:1357069
Tillgänglig från: 2019-10-02 Skapad: 2019-10-02 Senast uppdaterad: 2019-11-12Bibliografiskt granskad

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