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

Autores/as

  • 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
  • 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

DOI:

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

Palabras clave:

Efficiency improvement, Renewable energy systems, Bio-inspired optimization, Power converters

Resumen

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 the process of 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, conventional control methods often fall short in optimizing DC-AC converters to adapt dynamically to changing environmental conditions and varying load demands. This letter aims to provide a holistic view of research on bio-inspired optimization strategies and their impact on minimizing distortion, maximizing efficiency, and enhancing the overall reliability of DC-AC converters within renewable energy systems

 

Biografía del autor/a

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

Ph.D. en Diseño Industrial y de Productos (2023), obtenido en el Instituto Universitario de Ingeniería Energética, Universitat Politècnica de València: Valencia, España. Actualmente trabaja en el Departamento de Ingeniería en (CUTONALÁ), Universidad de Guadalajara, Tonalá, Jalisco, México.

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

Ing. Electricidad, Esp. Potencia. Master en Ciencias de la Ingeniería, egresada de la Scula universitaria professionale della Svizzera italiana (SUPSI). Actualmente está vinculada con el Grupo de Sistemas Electrónicos Industriales. Departamento de Ingeniería Electrónica, Universitat Politécnica de Valéncia
Valencia, Spain

Citas

Owusu, P. A., & Asumadu-Sarkodie, S. (2016). A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng, 3(1). https://doi.org/10.1080/23311916.2016.1167990

Tomin, N., et al. (2022). Design and optimal energy management of community microgrids with flexible renewable energy sources. Renew Energy, 183, 903–921. https://doi.org/10.1016/J.RENENE.2021.11.024

Pop, C. B., et al. (2022). Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics. Energy Reports, 8, 11769–11798. https://doi.org/10.1016/J.EGYR.2022.09.025

Faris, H., Aljarah, I., Al-Betar, M. A., & Mirjalili, S. (2018). Grey wolf optimizer: A review of recent variants and applications. Neural Comput Appl, 30(2), 413–435. https://doi.org/10.1007/S00521-017-3272-5/FIGURES/9

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

Kummara, V. G. R., et al. (2019). A Comprehensive Review of DC–DC Converter Topologies and Modulation Strategies with Recent Advances in Solar Photovoltaic Systems. Electronics, 9(1), 31. https://doi.org/10.3390/ELECTRONICS9010031

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

Archivos adicionales

Publicado

23-12-2023

Cómo citar

Aguila-Leon, J., & Lucero-Tenorio, M. (2023). Bio-Inspired Strategies for Minimizing Distortion in DC-AC Converters . EASI: Ingeniería Y Ciencias Aplicadas En La Industria, 2(2), 16–19. https://doi.org/10.53591/easi.v2i2.2654

Estadística (Statistics)