NONE 20260715072640151 wseas/wseas content-registration-form@crossref.org content-registration-form International Journal of Electrical Engineering and Computer Science 2769-2507 Fabio Riaño Universidad Nacional de Colombia, Bogotá, COLOMBIA Nicolas Santamaria Universidad Nacional de Colombia, Bogotá, COLOMBIA Camilo Rojas Universidad Nacional de Colombia, Bogotá, COLOMBIA Sergio Rivera Universidad Nacional de Colombia, Bogotá, COLOMBIA This article presents an optimization model for the integration of hybrid photovoltaic-hydrogen-battery energy storage systems (PV-H2-BESS) applied to the urban context of Barranquilla, Colombia. The approach is based on modern methodologies employed in international studies on community energy systems with hydrogen which were specifically adapted to the tropical climatic conditions and typical demand patterns of the Colombian Caribbean. Uncertainty in PV generation and residential demand is modeled through Monte Carlo scenarios, while operational risk is incorporated using Conditional Value-at-Risk (CVaR). The multi-objective problem is formulated to minimize the Life Cycle Cost (LCC) and the Grid Interaction Level (GIL), and solved using a modified Multi-Objective Particle Swarm Optimization (MOPSO) algorithm capable of generating robust Pareto fronts under uncertainty. The results reveal significant differences compared to systems evaluated in North America (the reference study), largely due to Barranquilla’s low seasonality, high annual irradiance, and constant thermal loads. The proposed framework contributes substantially to the planning of future green hydrogen energy hubs in Colombia. 07 15 2026 07 15 2026 81 7 https://creativecommons.org/licenses/by/4.0/deed.en_US 10.37394/232027.2026.8.7 https://wseas.com/journals/eeacs/2026/a14eeacs-007(2026).pdf T. Valencia-Zuluaga, D. Agudelo-Martinez, D. Arango-Angarita, C. Acosta-Urrego, S. Rivera, D. Rodr´ıguez-Medina, and J. Gers, “A fast decomposition method to solve a security-constrained optimal power flow (scopf) problem through constraint handling,” IEEE Access, vol. 9, pp. 52 812–52 824, 2021. [Online]. Available: https://doi.org/10.1109/ACCESS.2021.3067206 Y. Wu and L. Zhong, “Decarbonizing urban residential communities with green hydrogen systems,” Nature Cities, vol. 2, pp. 81–92, 2025. [Online]. Available: https://doi.org/10. 1038/s44284-024-00178-7 L. Zhong and Y. Wu, “Probabilistic deployment pathways of scaling up distributed green hydrogen systems for urban residential communities in north america,” 6 2024. [Online]. Available: https://www.researchsquare.com/article/ rs-4327177/v1 X. Yang, J. Zou, S. Yang, J. Zheng, and Y. Liu, “A fuzzy decision variables framework for largescale multiobjective optimization,” IEEE Transactions on Evolutionary Computation, vol. 27, no. 3, pp. 445–459, 2023. [Online]. Available: https://doi.org/10.1109/TEVC.2021.3118593 M. de Minas y Energ´ıa, “Resoluci´on 40509 de 2024,” 11 2024. [Online]. Available: https://normativame.minenergia.gov.co/ normatividad/7079/norma/ J. Garcia-Guarin, D. Alvarez, A. Bretas, and S. Rivera, “Schedule optimization in a smart microgrid considering demand response constraints,” Energies, vol. 13, no. 17, 2020. [Online]. Available: https://www.mdpi.com/ 1996-1073/13/17/4567 A. M. Sanchez, G. E. Coria, A. A. Romero, and S. R. Rivera, “An improved methodology for the hierarchical coordination of pev charging,” IEEE Access, vol. 7, pp. 141 754–141 765, 2019. [Online]. Available: https://doi.org/10.1109/ ACCESS.2019.2943295 D. Baimbetov, M. Salem, S. Syrlybekkyzy, N. Ermek Talantovich, Y. Muralev, and M. Alhuyi Nazari, “Optimal scheduling of a multienergy hub with renewables, hydrogen vehicles, and storage systems,” IEEE Access, vol. 13, pp. 161 709–161 728, 2025. L. M. Winkler, A. Kabza, M. A. Danzer, and H. Palm, “Framework for the multi-objective optimization of hybrid fuel cell system design and operation,” IEEE Access, vol. 12, pp. 191 773– 191 789, 2024. W. Tang, Z. Wang, L. Zhang, B. Zhang, J. Liang, K. Liu, and W. Sheng, “Optimal allocation strategy for electric epsvs and hydrogen fuel cell epsvs balancing resilience and economics,” CSEE Journal of Power and Energy Systems, vol. 11, no. 3, pp. 1270–1283, 2025. Y. Wang, Y. Hu, Y. Zhao, Y. Li, F. Fang, and J. Liu, “Optimal capacity configuration of large-scale energy bases considering external multi-stochastic scenarios and interactive multitimescale objectives,” Journal of Modern Power Systems and Clean Energy, vol. 13, no. 6, pp. 1990–2001, 2025. N. T. Nguyen, V. P. Dang, T. T. B. C. Vo, and R. Matsuhashi, “Techno-economic and environmental assessment of solar and wind-based hydrogen production: A case study in vietnam,” IEEE Access, vol. 13, pp. 113 854–113 878, 2025.