Dr. Melgar-Dominguez received his B.Sc. degree in electrical engineering from the National Autonomous University of Honduras (UNAH) in Tegucigalpa, Honduras, in 2011. He subsequently earned his M.Sc. and Ph.D. degrees in electrical engineering from the São Paulo State University (UNESP) in Ilha Solteira, Brazil, in 2015 and 2018, respectively. In 2018, he held the position of visiting researcher at Aalto University in Finland. From 2019 to 2021, Dr. Melgar-Dominguez served as a postdoctoral researcher at the Universidade Estadual Paulista (UNESP). Presently, he serves as the chief of the Generation Expansion Planning Department at Electric System Operator (CND) in Tegucigalpa, Honduras. Concurrently, Dr. Melgar-Dominguez is a researcher affiliated with the Department of Electrical Engineering at UNAH in Tegucigalpa, Honduras. His main's research endeavors encompass power system optimization, AI applied to power systems, among others.
EDUCATION
Doctor of Philosophy - PhD: Universidade Estadual Paulista "Júlio de Mesquita Filho" (Unesp), jan. 2015 - Dec. 2018.
Master’s Degree: Universidade Estadual Paulista "Júlio de Mesquita Filho" (Unesp), March 2013 - Feb. 2015.
Engineer’s Degree: Universidad Nacional Autónoma de Honduras (UNAH), Feb. 2005 - Dec. 2010
RESEARCH, TEACHING, or OTHER INTERESTS
Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering
26
Scopus Publications
825
Scholar Citations
12
Scholar h-index
15
Scholar i10-index
Scopus Publications
A Bibliometric and Literature Review of Neural Networks and Model-Free Methods for Penetrating Renewable Energy into Power Systems Isaac Fernando Hernandez, Oizis Aksunamun Melgar, Jonathan M. Tabora, Ozy D. Melgar-Dominguez Proceedings of 2025 IEEE Central America and Panama Student Conference Conescapan 2025, 2025 The transition to sustainable power systems, fueled by the growing integration of unpredictable renewable energy sources, requires innovative solutions to manage their variability. This bibliometric and literature review explores the potential of artificial neural networks (ANNs), specifically multilayer perceptrons, for estimating power flows in power systems without the need for detailed network models. Using PRISMA methodology, publication trends and co-citation networks in Scopus were examined to compare energy penetration and congestion management approaches with model-free methods. The results show that ANNs provide accurate, computationally efficient estimates. These estimates were validated in simulations using Pandapower on the IEEE 30-bus system versus traditional methods, such as the Newton-Raphson method. However, the limited research in Latin America reflects constraints in data and infrastructure, hindering the adoption of these technologies. This review emphasizes the capacity of ANNs to optimize real-time operation in dynamic networks and proposes a framework for scaling them in emerging contexts. Further interdisciplinary research is necessary to bridge regional gaps and promote a sustainable energy transition.
Whiteboard Educational Technology System: A Tool for Inclusive and Quality Learning in the Framework of SDG 4 Isaac Fernando Hernandez, Oizis Aksunamun Melgar, Jonathan M. Tabora, Ozy D. Melgar-Dominguez Proceedings of 2025 IEEE Central America and Panama Student Conference Conescapan 2025, 2025 In Honduras, 60% of schools lack access to basic educational technologies, exacerbating educational inequalities [8] and limiting inclusive learning opportunities, particularly for students and teachers with motor disabilities. This paper presents the development of a low-cost, computer numerical control (CNC) smart whiteboard designed to enhance inclusive education and align with Sustainable Development Goal 4 (Quality Education) [7]. The proposed system enables automated writing and drawing on a Formica surface, controlled wirelessly via mobile devices, fostering interactive and accessible classroom engagement [12]. Built with affordable components such as Arduino microcontrollers, NEMA 17 stepper motors, and open-source software, the prototype achieves a positional accuracy of 1.2 mm along the X -axis, with ongoing development for $\mathrm{Y} / \mathrm{Z}$-axis integration. Participatory workshops and surveys at the National Autonomous University of Honduras (UNAH) involve students and faculty in co-designing the tool, ensuring its adaptability to resourceconstrained settings [9]. Preliminary results demonstrate a 5W power consumption and potential cost reductions of up to 50% compared to commercial alternatives. The system’s impact on pedagogical usability and inclusion is evaluated through mixedmethod assessments [13], targeting a 40% increase in active classroom participation for users with disabilities. This pioneering initiative offers a scalable model for equitable education [11].
Resilience-Oriented Planning for Distribution Systems Combining Distributed Generation Allocation and Dynamic Operational Strategies Juan M. Home-Ortiz, Lucas C. Yamaguti, Jairo Yumbla, Ozy D. Melgar-Dominguez, Renato Machado Monaro, José R. S. Mantovani IEEE Access, 2025 A specialized strategy to enhance the resilience of distribution systems against high-impact and low-probability events is developed by incorporating investment decisions and emergency operational actions. Investment decisions involve the optimal distributed generation (DG) allocation, while operational actions include dynamic restoration plans that consider microgrid formation, network reconfiguration, and the pre-positioning and displacement of mobile energy storage systems. The resilience problem is formulated as a mixed-integer second-order cone programming (MISOCP) model, where the investment cost of installing new DG units in the system and the expected value of energy shedding in the system are simultaneously minimized. The MISOCP model is extended to a two-stage stochastic scenario-based approach to address the uncertainties associated with solar irradiance, demand, and fault events. In addition, this formulation captures load changes in response to voltage fluctuations through a voltage-dependent ZIP model, which accurately represents the composite load characteristics as a combination of constant impedance (Z), constant current (I), and constant power (P) components. The effectiveness of the proposed model is demonstrated through several experiments using the 33-node and the 69-node distribution systems under different study cases. Numerical results show the benefits of simultaneously addressing the planning and restoration problems, especially when considering emergency scenarios.
A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources Jonathan Muñoz Tabora, Yoly G. Velasquez, Dennis A. Rivera, Darwin A. Quijano, Ozy D. Melgar-Dominguez IEEE Access, 2024 This work explores the generation expansion planning (GEP) problem from a multiobjective perspective, estimating the maximum capacity of non-controllable variable renewable energy (VRE) sources to be installed, when investments in flexible technologies are carried out. The problem is formulated as a multiobjective optimization model that seeks to maximize the capacity of VRE-based generation while simultaneously minimizing the investment costs in flexible technologies, system operation costs, and emission taxes. This model takes into account the uncertainty and variability in renewable power production and demand via a multi-period stochastic formulation. The problem solution provides a set of investment plans that allow the system planner to select the option that best satisfies economic, environmental and operational targets and, in addition, provides the necessary reserve capacity to accommodate the expected new VRE sources, addressing the intermittency and variability of renewable power production. Numerical results show that the proposed strategy reveals an interdependence between the VRE installed capacity and investment in flexible technologies to provide balancing services. Furthermore, the results indicate that the installed renewable capacity can increase by up to 44.12%, which correlates with an approximately 60% rise in investment costs for flexible technologies compared to the case where these investments are minimized.
A Practical Methodology for the Generation Expansion Process in Power Systems Luis F. Mejia, Yoly G. Velásquez, Ozy D. Melgar-Dominguez Proceeding of the 2023 IEEE 41st Central America and Panama Convention Concapan Xli 2023, 2023 Generation expansion planning (GEP) consists of identifying new technologies that can be incorporated into the existing generation system to meet future demand at the lowest possible cost, taking into account technical, environmental, and economic constraints. Nowadays, the growing integration of uncontrollable renewable-based generation sources requires the development of more robust planning methodologies. Therefore, this work proposes criteria that could be incorporated into the traditional GEP model. These criteria are based on the formulation of constraints which consist of maintaining firm power and reserve requirements in order to guarantee the variability effects of demand and renewable-based generation. With the incorporation of these constraints, it is expected to obtain more flexible and robust solutions to deal with uncontrollable renewable power production. Inherently, by adding these constraints, a mixed-integer nonlinear programming (MINLP) model is obtained. In this context, the complexities of this model are discussed as well as the possible linearization techniques to obtain a more tractable optimization model. Finally, it presents a GEP process that could be adopted to determine the best generation expansion plan.
A Robust Multiobjective Strategy for Short-Term Distribution System Upgrading to Increase the Distributed Generation Hosting Capacity Ozy D. Melgar-Dominguez, Darwin A. Quijano, Jose R. Sanches Mantovani, Gianfranco Chicco IEEE Transactions on Power Systems, 2022 This work proposes a strategy that estimates the maximum distributed generation (DG) capacity that can be connected to the electric distribution system (EDS), when EDS upgrading actions are implemented. The problem is viewed from the distribution system operator (DSO) perspective and is formulated as a multiobjective optimization model that maximizes the DG capacity and minimizes the upgrading cost. Upgrading options include allocation of voltage regulators (VRs) and conductor replacement, which are coordinated with the application of generation curtailment, DG reactive power support, and voltage control using VRs. The uncertainty and variability of demand and DG power production are accounted for resorting to a multi-period robust formulation. The problem solution generates a set of upgrading plans, from which the DSO can select the one that meets its economic expectation and provides the EDS with the necessary capacity to accommodate the expected new DG. A post-optimization analysis is proposed to evaluate the impact of EDS upgrading on the DSO profit. Simulations are performed on a 135-bus EDS, and results show that the proposed strategy reveals an upgrading plan that increases the DG capacity up to 64.39% with a gain in the DSO profit of 5.43%, compared to the case without EDS upgrading.
Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response Juan M. Home-Ortiz, Ozy D. Melgar-Dominguez, Mohammad S. Javadi, Jose Roberto Sanches Mantovani, Joao P. S. Catalao IEEE Transactions on Industry Applications, 2022 This article presents a restoration approach for improving the resilience of electric distribution systems (EDSs) by taking advantage of several operational resources. In the proposed approach, the restoration process combines dynamic network reconfiguration, islanding operation of dispatchable distributed generation units, and the prepositioning and displacement of mobile emergency generation (MEG) units. The benefit of exploring a demand response (DR) program to improve the recoverability of the system is also taken into account. The proposed approach aims to separate the in-service and out-of-service parts of the system while maintaining the radiality of the grid. To assist the distribution system planner, the problem is formulated as a stochastic-scenario-based mixed-integer linear programming model, where uncertainties associated with PV-based generation and demand are captured. The objective function of the problem minimizes the amount of energy load shedding after a fault event as well as PV-based generating curtailment. To validate the proposed approach, adapted 33-bus and 83-bus EDSs are analyzed under different test conditions. Numerical results demonstrate the benefits of coordinating the dynamic network reconfiguration, the prepositioning and displacement of MEG units, and a DR program to improve the restoration process.
Distribution Systems Resilience Improvement Utilizing Multiple Operational Resources Juan M. Home Ortiz, Ozy D. Melgar-Dominguez, Mohammad S. Javadi, Sergio F. Santos, Jose Roberto Sanches Mantovani, Joao P. S. Catalao 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe Eeeic I and Cps Europe 2021 Proceedings, 2021
Assessing the impact of electric vehicles' connection to a low-voltage network of Honduras K Rodríguez, E Briceño, H Amador, OD Melgar-Domínguez Universidad Tecnológica Centroamericana , 2025 2025
A Bibliometric and Literature Review of Neural Networks and Model-Free Methods for Penetrating Renewable Energy into Power Systems IF Hernandez, OA Melgar, JM Tabora, OD Melgar-Dominguez 2025 IEEE Central America and Panama Student Conference (CONESCAPAN), 1-6 , 2025 2025
Whiteboard Educational Technology System: A Tool for Inclusive and Quality Learning in the Framework of SDG 4 IF Hernandez, OA Melgar, JM Tabora, OD Melgar-Dominguez 2025 IEEE Central America and Panama Student Conference (CONESCAPAN), 1-6 , 2025 2025
Resilience-oriented planning for distribution systems combining distributed generation allocation and dynamic operational strategies JM Home-Ortiz, LC Yamaguti, J Yumbla, OD Melgar-Dominguez, ... IEEE Access , 2025 2025 Citations: 4
A multiobjective strategy for generation expansion planning to enable increased penetration of variable renewable energy sources JM Tabora, YG Velasquez, DA Rivera, DA Quijano, ... IEEE Access 12, 187665-187675 , 2024 2024 Citations: 12
Energy Flexibility: A Systematic Review with a Perspective from Latin America JM Tabora, OD Melgar-Dominguez, H Amador, ME de Lima Tostes, ... 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII), 1-6 , 2024 2024 Citations: 3
Electric-vehicle-enabled hosting capacity enhancement in distribution systems DA Quijano, OD Melgar-Dominguez, C Sabillon, A Padilha-Feltrin Advanced Technologies in Electric Vehicles, 163-186 , 2024 2024 Citations: 5
Análisis de la efectividad regulatoria de diferentes regiones internacionales para viabilizar la participación de autoproductores residenciales CEA Mejía, H Amador, OD Melgar-Domínguez Innovare: Revista de ciencia y tecnología 12 (3), 106-112 , 2023 2023
A Practical Methodology for the Generation Expansion Process in Power Systems LF Mejia, YG Velásquez, OD Melgar-Dominguez 2023 IEEE 41st Central America and Panama Convention (CONCAPAN XLI), 1-5 , 2023 2023 Citations: 1
A strategy to enhance the distribution systems recoverability via the simultaneous coordination of planning actions and operational resources JM Home-Ortiz, OD Melgar-Dominguez, MS Javadi, MB Gough, ... International Journal of Electrical Power & Energy Systems 147, 108863 , 2023 2023 Citations: 8
Evaluando el impacto de la conexión de vehículos eléctricos en una red de baja tensión de Honduras K Rodríguez, E Briceño, H Amador, OD Melgar-Domínguez Innovare Revista de ciencia y tecnología 12 (2), 53-60 , 2023 2023 Citations: 2
PV hosting capacity assessment in distribution systems considering resilience enhancement JM Home-Ortiz, OD Melgar-Dominguez, JRS Mantovani, JPS Catalao Sustainable Energy, Grids and Networks 32, 100829 , 2022 2022 Citations: 34
Melhoramento da Resiliência em Sistemas de Distribuiçao de Energia Elétrica Usando Alocaçao de GD e Sistemas de Armazenamento de Emergência Móveis JM Home-Ortiz, LC Yamaguti, JG Yumbla, OD Melgar-Dominguez, ... XXIV Congresso Brasileiro de Automática , 2022 2022
A robust multiobjective strategy for short-term distribution system upgrading to increase the distributed generation hosting capacity OD Melgar-Dominguez, DA Quijano, JRS Mantovani, G Chicco IEEE Transactions on Power Systems 37 (6), 4352-4364 , 2022 2022 Citations: 42
Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response JM Home-Ortiz, OD Melgar-Dominguez, MS Javadi, J Roberto, ... IEEE Transactions on Industry Applications , 2022 2022 Citations: 76
Short-term distribution system planning using a system reduction technique OD Melgar-Dominguez, RW Salas, JRS Mantovani IEEE Access 9, 153586-153598 , 2021 2021 Citations: 10
Assessment of distributed generation hosting capacity in electric distribution systems by increasing the electric vehicle penetration EC Da Silva, OD Melgar-Dominguez, R Romero 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 01-05 , 2021 2021 Citations: 11
Distribution systems resilience improvement utilizing multiple operational resources JMH Ortiz, OD Melgar-Dominguez, MS Javadi, SF Santos, JRS Mantovani, ... 2021 IEEE International Conference on Environment and Electrical Engineering … , 2021 2021 Citations: 7
Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems EC Da Silva, OD Melgar-Dominguez, R Romero IEEE Access 9, 110927-110939 , 2021 2021 Citations: 72
Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators DA Quijano, OD Melgar‐Dominguez, C Sabillon, B Venkatesh, ... IET Generation, Transmission & Distribution 15 (2) , 2021 2021 Citations: 43
MOST CITED SCHOLAR PUBLICATIONS
Adaptive Robust Short-Term Planning of Electrical Distribution Systems Considering Siting and Sizing of Renewable Energy-based DG Units ODM Dominguez, MP Kasmaei, JRS Mantovani IEEE Transactions on Sustainable Energy 10 (1), 158-169 , 2019 2019 Citations: 109
Volt-VAr control and energy storage device operation to improve the electric vehicle charging coordination in unbalanced distribution networks C Sabillon-Antunez, OD Melgar-Dominguez, JF Franco, M Lavorato, ... IEEE Transactions on Sustainable Energy 8 (4), 1560-1570 , 2017 2017 Citations: 92
A stochastic mixed-integer convex programming model for long-term distribution system expansion planning considering greenhouse gas emission mitigation JM Home-Ortiz, OD Melgar-Dominguez, M Pourakbari-Kasmaei, ... International Journal of Electrical Power & Energy Systems 108, 86-95 , 2019 2019 Citations: 86
Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response JM Home-Ortiz, OD Melgar-Dominguez, MS Javadi, J Roberto, ... IEEE Transactions on Industry Applications , 2022 2022 Citations: 76
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response OD Melgar-Dominguez, M Pourakbari-Kasmaei, M Lehtonen, ... Electric power systems research 181, 106202 , 2020 2020 Citations: 76
Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems ODM Dominguez, MP Kasmaei, M Lavorato, JRS Mantovani Energy Systems 9 (3), 529–550 , 2018 2018 Citations: 75
Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems EC Da Silva, OD Melgar-Dominguez, R Romero IEEE Access 9, 110927-110939 , 2021 2021 Citations: 72
Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators DA Quijano, OD Melgar‐Dominguez, C Sabillon, B Venkatesh, ... IET Generation, Transmission & Distribution 15 (2) , 2021 2021 Citations: 43
A robust multiobjective strategy for short-term distribution system upgrading to increase the distributed generation hosting capacity OD Melgar-Dominguez, DA Quijano, JRS Mantovani, G Chicco IEEE Transactions on Power Systems 37 (6), 4352-4364 , 2022 2022 Citations: 42
PV hosting capacity assessment in distribution systems considering resilience enhancement JM Home-Ortiz, OD Melgar-Dominguez, JRS Mantovani, JPS Catalao Sustainable Energy, Grids and Networks 32, 100829 , 2022 2022 Citations: 34
Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus OD Melgar‐Dominguez, M Pourakbari‐Kasmaei, M Lehtonen, ... IET Generation, Transmission & Distribution 13 (17), 3760-3770 , 2019 2019 Citations: 18
Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing ODM Dominguez, M Pourakbari-Kasmaei, JRS Mantovani, M Lavorato 2017 IEEE International Conference on Environment and Electrical Engineering … , 2017 2017 Citations: 14
A multiobjective strategy for generation expansion planning to enable increased penetration of variable renewable energy sources JM Tabora, YG Velasquez, DA Rivera, DA Quijano, ... IEEE Access 12, 187665-187675 , 2024 2024 Citations: 12
Assessment of distributed generation hosting capacity in electric distribution systems by increasing the electric vehicle penetration EC Da Silva, OD Melgar-Dominguez, R Romero 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 01-05 , 2021 2021 Citations: 11
Short-term distribution system planning using a system reduction technique OD Melgar-Dominguez, RW Salas, JRS Mantovani IEEE Access 9, 153586-153598 , 2021 2021 Citations: 10
Robust short-term electrical distribution network planning considering simultaneous allocation of renewable energy sources and energy storage systems OD Melgar-Dominguez, M Pourakbari-Kasmaei, JRS Mantovani Robust Optimal Planning and Operation of Electrical Energy Systems, 145-175 , 2019 2019 Citations: 9
A strategy to enhance the distribution systems recoverability via the simultaneous coordination of planning actions and operational resources JM Home-Ortiz, OD Melgar-Dominguez, MS Javadi, MB Gough, ... International Journal of Electrical Power & Energy Systems 147, 108863 , 2023 2023 Citations: 8
Distribution systems resilience improvement utilizing multiple operational resources JMH Ortiz, OD Melgar-Dominguez, MS Javadi, SF Santos, JRS Mantovani, ... 2021 IEEE International Conference on Environment and Electrical Engineering … , 2021 2021 Citations: 7
Increasing Distributed Generation Hosting Capacity in Distribution Networks: A CO 2 Emission Analysis OD Melgar-Dominguez, JRS Mantovani, M Pourakbari-Kasmaei, ... 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1010-1014 , 2020 2020 Citations: 7
Electric-vehicle-enabled hosting capacity enhancement in distribution systems DA Quijano, OD Melgar-Dominguez, C Sabillon, A Padilha-Feltrin Advanced Technologies in Electric Vehicles, 163-186 , 2024 2024 Citations: 5