International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Power Losses Reduction of Stacked Multicell Converter Fed Wind Energy Conversion System (WECS) Using Hybrid Methodology

Author(s) Subhashini B.N, Dr P. Pramila
Country India
Abstract This paper proposes a hybrid method for reduction of power losses of multicell converter in wind energy conversion system (WECS). The proposed methodology is the Artificial Intelligence (AI) based phase disposition pulse width modulation (PD-PWM). The Artificial Intelligence (AI) is the Gradient Boosting Decision Tree algorithm (GBDT). Hence it is named as GBDT-PD-PWM. Gradient boosting is a machine learning system that creates a prediction model in the group of weak prediction models, often called decision trees. The multicell converter is employed as the grid side converter (GSC) of WECS to attenuate harmonics created by nonlinear load. For stacked multicell converters (SMCs), a method of capacitor voltage balance based on PD-PWM approach is proposed.
Keywords Stacked multicell converter(SMC) , Wind energy conversion system (WECS), Grid side, Reliability, Nonlinear load, Fault, Gradient Boosting Decision Tree Algorithm (GBDT), Phase Disposition Pulse Width Modulation (PD- PWM)
Field Physics > Electric
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-04
Cite This Power Losses Reduction of Stacked Multicell Converter Fed Wind Energy Conversion System (WECS) Using Hybrid Methodology - Subhashini B.N, Dr P. Pramila - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.12816
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.12816
Short DOI https://doi.org/gtgs52

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