IJBTT

Recurring Questions Throughout the Research on Electrical Distribution Networks Reconfiguration: Insights from Ph. D. Training

	International Journal of Recent Engineering Science (IJRES)
	© 2025 by IJRES Journal
	Volume-12 Issue-2
	Year of Publication : 2025
	Authors : Gustavo Crespo Sánchez, Ignacio Pérez Abril
	DOI : 10.14445/23497157/IJRES-V12I2P108

How to Cite?

Gustavo Crespo Sánchez, Ignacio Pérez Abril, "Recurring Questions Throughout the Research on Electrical Distribution Networks Reconfiguration: Insights from Ph. D. Training," International Journal of Recent Engineering Science, vol. 12, no. 2, pp. 69-78, 2025. Crossref, https://doi.org/10.14445/23497157/IJRES-V12I2P108

Abstract
Network reconfiguration is one of the best current solutions to achieve balanced systems that improve voltage regulation with load distribution between lines, reduce losses and increase their efficiency, availability and reliability, reducing the interruptions risk and increasing failure response capacity. However, despite the large number of approaches and methods proposed in the literature since its first publication in 1975, especially in the last twenty years, researchers have not reached a consensus on the best method to solve the problem. Therefore, it remains an active investigation area and is in permanent development. The paper compiles the questions recurrent in the different stages of the Ph.D. training process in electrical engineering of the primary author, with the proposal of Multi-objective distribution systems reconfiguration by using the Non dominated Sorting Genetic Algorithm II and local improvement. It provides the answers and theoretical foundations given to the questions requested by the different convened tribunal members, which constitute a very valuable tool for future studies on the topic and its upcoming challenges that entail an opportunity for future doctoral students to improve research and strengthen critical and communicative skills, which contribute to better future researchers understanding on technical sciences evaluation and defence processes and which suggest effective response strategies to the questions that will be formulated during the doctoral training process.

Keywords
Local improvement, NSGA-2 algorithm, Radiality, Static networks, Test circuits.

Reference
[1] A. Merlin, and H. Back, “Search for a Minimal-loss Operating Spanning Tree Configuration in an Urban Power Distribution System,” Proceedings of the 5th Power System Computation Conference, Cambridge, UK, vol. 5, pp. 1-18, 1975.
[Google Scholar] [Publisher Link]
[2] Milad Rahimipour Behbahani et al., “Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies,” IEEE Access, vol. 12, pp. 9510-9525, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Hossein Lotfi, Mohammad Ebrahim Hajiabadi, and Hossein Parsadust, “Power Distribution Network Reconfiguration Techniques: A Thorough Review,” Sustainability, vol. 16, no. 23, pp. 1-33, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Puttamsetty Ushashree, and K. Sathish Kumar, “Power System Reconfiguration in Distribution System for Loss Minimization using Optimization Techniques: A Review,” Wireless Personal Communications, vol. 128, pp. 1907-1940, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Cheng Yang et al., “Optimal Power Flow in Distribution Network: A Review on Problem Formulation and Optimization Methods,” Energies, vol. 16, no. 16, pp. 1-42, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Irina Salazar-Fonseca, and Gustavo Torres-Guerrero, “Multi-objective Reconfiguration in Primary Power Distribution Systems,” Ingeniare. Chilean Engineering Journal, vol. 25, no. 2, pp. 196-204, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Beenish Sultana et al., “Review on Reliability Improvement and Power Loss Reduction in Distribution System Via Network Reconfiguration,” Renewable and Sustainable Energy Reviews, vol. 66, pp. 297-310, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Miguel Campaña, Esteban Inga, and Roberto Hincapié, “Optimal Placement Of Universal Data Aggregation Points For Smart Electric Metering Based On Hybrid Wireless,” CEUR Workshop Proceedings, Germany, pp. 1-5, 2017.
[Google Scholar] [Publisher Link]
[9] Deycy Camila Monar Arguello, “Reconfiguration Scheme in the Electrical Network in the Distribution System Considering Voltage Restrictions,” Salesian Polytechnic University, Quito Campus Electricity Degree Program, Thesis, pp. 1-36, 2022.
[Google Scholar] [Publisher Link]
[10] Meisam Mahdavi et al., “Reconfiguration of Electric Power Distribution Systems: Comprehensive Review and Classification,” IEEE Access, vol. 9, pp. 118502-118527, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Saeed Peyghami et al., “Standard Test Systems for Modern Power System Analysis: An Overview,” IEEE Industrial Electronics Magazine, vol. 13, no. 4, pp. 86-105, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Ansar Berdygozhin, and David Campos-Gaona, “Asymmetric Operation of Power Networks, State of the Art, Challenges, and Opportunities,” Energies, vol. 17, no. 20, pp. 1-19, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[13] H.F. Zhai et al., “Dynamic Reconfiguration of Three-phase Unbalanced Distribution Networks,” International Journal of Electrical Power & Energy Systems, vol. 99, pp. 1-10, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Jingrui Zhang et al., “NSGA-III Integrating Eliminating Strategy and Dynamic Constraint Relaxation Mechanism to Solve Many Objective Optimal Power Flow Problem,” Applied Soft Computing, vol. 146,2023.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Hongfeng Ma et al., “A Decomposition-Based Evolutionary Algorithm with Neighborhood Region Domination,” Biomimetics, vol. 10, no. 1, pp. 1-25, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Haiping Ma et al., “A Comprehensive Survey on NSGA-II for Multi-objective Optimization and Applications,” Artificial Intelligence Review, vol. 56, pp. 15217-15270, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Samson Ademola Adegoke et al., “Network Reconfiguration Using Hybrid Archimedes Optimization Algorithm for Multiobjective Functions,” Journal of Electrical and Computer Engineering, vol. 2024, pp. 1-15, 2024. [CrossRef] [Google Scholar] [Publisher Link]
[18] Sivkumar Mishra, Debapriya Das, and Subrata Paul, “A Comprehensive Review on Power Distribution Network Reconfiguration,” Energy Systems, vol. 8, pp. 227-284, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[19] M.E. Baran, and F.F. Wu, “Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing,” IEEE Transactions on Power delivery, vol. 4, no. 2, pp. 1401-1407, 1989.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Bita Khorshid‐Ghazani et al., “Reconfiguration of Distribution Networks Considering Coordination of the Protective Devices,” IET Generation, Transmission & Distribution, vol. 11, no. 1, pp. 82-92, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Khandoker Islam, Dowon Kim, and Ahmed Abu-Siada, “A Review on Adaptive Power System Protection Schemes for Future Smart and Micro Grids, Challenges and Opportunities,” Electric Power Systems Research, vol. 230, pp. 1-17, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Alejandro López Aguirre, “Optimal Location and Sizing of Renewable Dg in Dc Distribution Networks Using a Multi-Objective Stochastic Approach,” Master Thesis, Technological University of Pereira, pp. 1-61, 2023.
[Google Scholar] [Publisher Link]
[23] Sergio F. Santos et al., “Dynamic Distribution System Reconfiguration Considering Distributed Renewable Energy Sources and Energy Storage Systems,” IEEE Systems Journal, vol. 16, no. 3, pp. 3723-3733, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Ana Cristina Rios Melgar, Carlos Alberto Medina, and Guadalupe González, “Flexibility and other Challenges of Massive Integration of Wind and Solar Generation into Power Systems,” Technological Prism, vol. 13, no. 1, pp. 88-96, 2022.
[CrossRef] [Google Scholar] [Publisher Link]