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Recent Trends in the Optimization of Renewable Distrib-uted Generation: A Review
Tendencias recientes en la optimización de la generación distribuida re-novable: una revisión
DOI:
https://doi.org/10.15446/ing.investig.97702Keywords:
energy generation, distributed energy resources, renewable sources, optimization approach (en)generación de energía, recursos energéticos distribuidos, fuentes renovables, enfoque de optimización (es)
Distributed energy resources, or distributed generation (DG), are the mainstay of modern power systems aiming towards green energy generation via the effective integration of renewable energy sources. DG involvement in traditional power systems comprises the enhancement of power quality parameters, the utilization of renewable sources, cost optimization, and stable and reliable energy generation. The advantages of such a revolutionary approach can be achieved with the optimal sizing and allocation of DG by means of adequate optimization techniques, constraints, and optimized parameters. In this study, a comprehensive review of DG optimization is presented in light of recent developments, and a comparison is carried out based on the adopted optimization techniques, test system, enhanced parameters, and outcome evaluations.
Los recursos energéticos distribuidos, o generación distribuida (GD), son el pilar de los sistemas energéticos modernos, que tienen como objetivo generar energía verde a través de la integración efectiva de fuentes de energía renovables. La participación de la GD en el sistema eléctrico tradicional abarca la mejora de los parámetros de calidad de la energía, la utilización de fuentes renovables, la optimización de costos y la generación de energía estable y confiable. Las ventajas de un enfoque tan revolucionario se pueden alcanzar asignando el tamaño y la ubicación óptimos de la GD mediante técnicas de optimización adecuadas, restricciones y parámetros optimizados. En este estudio se presenta una revisión completa de la optimización de GD en vista del desarrollo reciente, y se hace una comparación basada en las técnicas de optimización adoptadas, el sistema de prueba, los parámetros mejorados y las evaluaciones de resultados.
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Copyright (c) 2022 VIVEK SAXENA, NARENDRA KUMAR, UMA NANGIA
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