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The Application of Artificial Neural Networks as an Alternative Method for the Estimation of Harmonic Components

Grant number: 13/03395-6
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): May 01, 2013
Effective date (End): April 30, 2014
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal Investigator:Mário Oleskovicz
Grantee:Matheus Galvão Martins Souza
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil


As a work proposal, the project aims to model and computationally analysis the representative and indicative waveforms in the presence of nonlinear loads in a power system, and to estimate the harmonic components using Artificial Neural Networks (ANN) and Discrete Fourier Transform (DFT). The results of estimation by ANN will be compared with results obtained using the DFT. Looking up this comparison, the ANN will be validated as an alternative and accurate method for obtaining harmonic components, currently present and not negligible in the electric power system.