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This article presents a short-term energy planning strategy for the municipality of Palermo, Huila, Colombia, employing a hybrid distributed generation system integrating solar, wind, and diesel technologies to address local energy access challenges. Within Colombia’s changing regulatory environment and global progress in distributed generation, this research utilizes a multi-objective optimization approach in GAMS to reduce generation costs and CO \(_2\) emissions while considering active power losses. Using real-world demand and locational resource data from the electric utility ElectroHuila, the model introduces a simplified, scalable single-bus loss model into the specific electrical constraint consideration, thereby enhancing computational efficiency and practical applicability. This adaptation enables precise power loss calculations and optimizes generator placement, offering a significant improvement over traditional multi-bus models in resource-constrained settings, with trade-offs analyzed via a Pareto front. The results show a competitive generation cost of 875.62 COP/kWh and emissions of \(0.43 \times 10^{-3}\) ton CO \(_2\) /kWh, considering both economic and environmental objectives. This research work presents a robust framework for sustainable energy planning in non-interconnected zones, providing scalability and support for energy policy development.

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Short-Term Energy Planning Strategies Using a Hybrid Distributed Generation System

  • 会议论文

  • 发表日期：

    2026年

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  • Martha P. Camargo-Martínez,
  • Harrynson Ramirez-Murillo,
  • Ricardo Rincón,
  • Fabian Salazar-Caceres,
  • Jaime A. Solano-Vinchira,
  • John J. Beltrán-Santos

摘要

This article presents a short-term energy planning strategy for the municipality of Palermo, Huila, Colombia, employing a hybrid distributed generation system integrating solar, wind, and diesel technologies to address local energy access challenges. Within Colombia’s changing regulatory environment and global progress in distributed generation, this research utilizes a multi-objective optimization approach in GAMS to reduce generation costs and CO \(_2\) emissions while considering active power losses. Using real-world demand and locational resource data from the electric utility ElectroHuila, the model introduces a simplified, scalable single-bus loss model into the specific electrical constraint consideration, thereby enhancing computational efficiency and practical applicability. This adaptation enables precise power loss calculations and optimizes generator placement, offering a significant improvement over traditional multi-bus models in resource-constrained settings, with trade-offs analyzed via a Pareto front. The results show a competitive generation cost of 875.62 COP/kWh and emissions of \(0.43 \times 10^{-3}\) ton CO \(_2\) /kWh, considering both economic and environmental objectives. This research work presents a robust framework for sustainable energy planning in non-interconnected zones, providing scalability and support for energy policy development.