Enhancing the Performance of Active Distribution Grids: A Review Using Metaheuristic Techniques

Jesús Daniel Dávalos Soto (), Daniel Guillen (), Luis Ibarra, José Ezequiel Santibañez-Aguilar, Jesús Elias Valdez-Resendiz, Juan Avilés, Meng Yen Shih and Antonio Notholt
Additional contact information
Jesús Daniel Dávalos Soto: Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64700, Nuevo León, Mexico
Daniel Guillen: Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64700, Nuevo León, Mexico
Luis Ibarra: Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Mexico City 14380, Mexico
José Ezequiel Santibañez-Aguilar: Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64700, Nuevo León, Mexico
Jesús Elias Valdez-Resendiz: Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64700, Nuevo León, Mexico
Juan Avilés: Universidad Politécnica Salesiana, Electrical Engineering Department, Cuenca, Azuay, Ecuador
Meng Yen Shih: Universidad Autónoma de Campeche, Facultad de Ingeniería, Campeche 24085, Mexico
Antonio Notholt: Reutlingen University, School of Engineering, Alteburgstr. 150, 72762 Reutlingen, Germany

Energies, 2025, vol. 18, issue 15, 1-33

Abstract: The electrical power system is composed of three essential sectors, generation, transmission, and distribution, with the latter being crucial for the overall efficiency of the system. Enhancing the capabilities of active distribution networks involves integrating various advanced technologies such as distributed generation units, energy storage systems, banks of capacitors, and electric vehicle chargers. This paper provides an in-depth review of the primary strategies for incorporating these technologies into the distribution network to improve its reliability, stability, and efficiency. It also explores the principal metaheuristic techniques employed for the optimal allocation of distributed generation units, banks of capacitors, energy storage systems, electric vehicle chargers, and network reconfiguration. These techniques are essential for effectively integrating these technologies and optimizing the active distribution network by enhancing power quality and voltage level, reducing losses, and ensuring operational indices are maintained at optimal levels.

Keywords: capacitor banks; distributed generation unit; electric vehicle; energy storage system; metaheuristic technique; mono-objective; multi-objective; network reconfiguration; power losses; voltage deviation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/15/4180/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/15/4180/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:15:p:4180-:d:1719169

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().