Bio-Inspired Strategies for Minimizing Distortion in DC-AC Converters

Authors

  • Miriam Lucero-Tenorio Grupo de Sistemas Electrónicos Industriales, Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Valencia, Spain https://orcid.org/0009-0002-9055-0243
  • Jesus Aguila-Leon Departamento de Ciencias Básicas y Aplicadas, Centro Universitario de Tonalá, Universidad de Guadalajara, Tonalá, Jalisco, México https://orcid.org/0000-0003-0538-0842

DOI:

https://doi.org/10.53591/easi.v2i2.2654

Keywords:

Bio-inspired algorithms, power converter, renewable energy, efficiency improvement

Abstract

The global shift towards sustainable energy sources, such as solar
and wind power, underscores the critical role of power converters in
renewable energy systems. These converters are essential in converting
direct current (DC) generated from renewable sources into alternating
current (AC), suitable for use in homes and distribution through the grid. The
efficiency and performance of these converters have far-reaching
implications for the effective integration of renewable energy into the
existing grid infrastructure. However, the classic strategies for controlling
and designing power converters exhibit unstable behaviour under varying
environmental conditions and changing energy demands. This letter shows
some essential concepts and techniques explored in the research field of bio
inspired optimisation algorithms and their implementation for the
improvement of power converters in the field of renewable energies.

Author Biographies

Miriam Lucero-Tenorio, Grupo de Sistemas Electrónicos Industriales, Departamento de Ingeniería Electrónica, Universitat Politècnica de València, Valencia, Spain

Ingeniera en Electricidad especialización Potencia de la Escuela Superior Politécnica del Litoral (ESPOL). También es Máster en Ciencias de la Ingeniería especialidad Aplicaciones Industriales de la University of Applied Sciences and Arts of Italian Switzerland (SUPSI). Actualmente se desempeña como Coordinadora de Proyectos en la empresa DICOEL

Jesus Aguila-Leon, Departamento de Ciencias Básicas y Aplicadas, Centro Universitario de Tonalá, Universidad de Guadalajara, Tonalá, Jalisco, México

Ingeniería en Mecatrónica en la Universidad del Valle de México
Maestría en Ciencias en Ingeniería del Agua y la Energía en la Universidad de Guadalajara
Doctorado en Agua y Energía en la Universidad de Guadalajara
Doctorando en Ingeniería Universitat Politècnica de València (España)

References

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Aguila-Leon, J., Vargas-Salgado, C., Chiñas-Palacios, C., & Díaz-Bello, D. (2023a). Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional algorithms. Expert Syst Appl, 211, 118700. https://doi.org/10.1016/J.ESWA.2022.118700

Águila-León, J., Lucero-Tenorio, M., Díaz-Bello, D., Vargas-Salgado, C., & Vega-Gómez, C. (2023b). Bio-inspired Multiobjective Optimization Approach for Total Harmonic Distortion Reduction in a DC-AC Power Converter. In 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023 (pp. 80–85). https://doi.org/10.1109/SUSTECH57309.2023.10129638

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Aguila-Leon, J., Chiñas-Palacios, C., Vargas-Salgado, C., Hurtado-Perez, E., & Garcia, E. X. M. (2021). Particle swarm optimization, genetic Algorithm and grey Wolf optimizer algorithms performance comparative for a DC-DC boost converter PID controller. Advances in Science, Technology and Engineering Systems, 6(1), 619–625. https://doi.org/10.25046/aj060167

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Published

2023-12-26

How to Cite

Lucero-Tenorio, M., & Aguila-Leon, J. (2023). Bio-Inspired Strategies for Minimizing Distortion in DC-AC Converters. EASI: Engineering and Applied Sciences in Industry, 2(2), 16–19. https://doi.org/10.53591/easi.v2i2.2654

Issue

Vol. 2 No. 2 (2023): Energy efficiency and Sustainability (Special Issue, December)

Section

Letters / reports

License

Copyright (c) 2023 Miriam Lucero-Tenorio, Jesus Aguila-Leon

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