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Multi-objective optimization of multi-energy systems planning in remote zones: the Bahía Málaga Colombian case
Optimización multiobjetivo para la planificación de sistemas multienergéticos en ZNI caso de estudio Bahia Malaga
DOI:
https://doi.org/10.15446/dyna.v90n227.107793Palabras clave:
multi-energy systems; renewable energy; environment; energy access (en)sistemas multi-energéticos; energía renovable; medio ambiente; acceso a la energía (es)
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Non-Interconnected Zones (NIZ) are a challenge for countries in terms of providing energy service coverage that is both economically and environmentally sustainable. Although some microgrid planning strategies allow for scaled-down energy solutions for these areas, a solely electrical approach does not facilitate the integration of a range of energy vectors. Considering the above, this study presents a multi-objective approach to optimally scale multi-energy systems (MES) in NIZ in Colombia to minimize both costs and pollutant emissions. The methodology is based on the MOPSO algorithm, which provides a set of optimized solutions that can be selected according to multiple criteria. The capabilities of the methodology are tested through a comparative study of microgrid planning in the Bahía Málaga area on Colombia’s Pacific coast. The results present solutions with lower costs and lower environmental impact, benefits that can be applied in other NIZ worldwide.
Las Zonas No-Interconectadas (ZNI) son un desafío mundial a la hora de proveer un servicio energético universal, sostenible tanto económica, como ambientalmente. Si bien algunas estrategias de planificación de microrredes permiten el dimensionamiento de soluciones energéticas para estas áreas, un enfoque únicamente eléctrico no favorece un aprovechamiento integral de todos los vectores energéticos. En atención a lo anterior, este trabajo propone un enfoque multiobjetivo para dimensionar óptimamente sistemas multi-energéticos (MES) en ZNI, que minimicen los costos y las emisiones contaminantes. La metodología se basa en el algoritmo MOPSO, entrega un conjunto de soluciones optimizadas, que pueden seleccionarse de acuerdo con múltiples criterios. Las capacidades de la metodología se prueban mediante un estudio comparativo de planificación de microrredes en la zona Bahía, Málaga del Pacífico Colombiano. Los resultados muestran soluciones con menores costos y un menor impacto ambiental, ventajas que pueden ser aplicadas a otras ZNI en el mundo.
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1. Bansendeka Theo Nyingu, Lebogang Masike, Mwana Wa Kalaga Mbukani. (2025). Multi-Objective Optimization of Load Flow in Power Systems: An Overview. Energies, 18(22), p.6056. https://doi.org/10.3390/en18226056.
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