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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.
University West, Department of Engineering Science, Division of Production Systems. (PTW)
2019 (English)In: International Journal of Renewable Energy Research, ISSN 1309-0127, Vol. 9, no 2, p. 1097-1107Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
2019. Vol. 9, no 2, p. 1097-1107
Keywords [en]
Elman back propagation neural networkGrid side converterPermanent magnet synchronous generator (PMSG), Vienna Rectifier, Wind energy system
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-14475ISI: 000473173400053Scopus ID: 2-s2.0-85068822887OAI: oai:DiVA.org:hv-14475DiVA, id: diva2:1357069
Available from: 2019-10-02 Created: 2019-10-02 Last updated: 2020-02-03Bibliographically approved

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Ramasamy, Sudha

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