Sistema de apoyo basado en procesamiento de señales e inteligencia computacional para evaluar la calidad de energía en un sistema fotovoltaico
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Date
2017-12-15
Authors
Director(s)
Publisher
Universidad Antonio Nariño
Campus
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Document type
COAR type
http://purl.org/coar/resource_type/c_bdcc
Citation
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Abstract
Currently, renewable energy resources have the highest growth rates, especially solar
energy has been number one. However, dealing with the intermittent nature of solar
energy is the main challenge for its use.
Variations in the reception of solar energy on the panel cause fluctuations that affect the
voltage and current, making the regulation and investment system are fundamental for
the system. These power converters added to the use of non-linear loads generate
different problems, one of the most characteristic being the harmonics. Consequently,
there is a great impact on the quality of energy in the distribution systems.