Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovoltaic Generation

Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovoltaic Generation

Renewable generation sources like photovoltaic plants are weather dependent and it is hard to predict their behavior. This work proposes a methodology for obtaining a parameterized model that estimates the generated power in a photovoltaic generation system. The proposed methodology uses a genetic a...

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Bibliographic Details
Main Authors: David A. Elvira-Ortiz, Arturo Y. Jaen-Cuellar, Daniel Morinigo-Sotelo, Luis Morales-Velazquez, Roque A. Osornio-Rios, Rene de J. Romero-Troncoso
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
genetic algorithms
parameter estimation
photovoltaic systems
power quality
total harmonic distortion
Online Access:https://www.mdpi.com/2076-3417/10/2/542

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