Evaluating Colombia’s Regulatory Framework for Distributed Renewables in Energy Communities: Insights from a Genetic Algorithm Approach

Renewable Energy Sources (NCRES) into low- and medium-voltage distribution networks in

Colombia, with an emphasis on Energy Communities (ECs). A retrospective evaluation of the regulations is conducted, and improvements are proposed to optimize the placement and operation of distributed generation belonging to the EC, using the assessment of Hosting

Capacity (HC) as a sensitivity. In this way, the aim is to support a more efficient energy transition.

The study conducts two tests of the regulatory framework: an uncoordinated or natural one, and a coordinated one that employs a modified Chu–Beasley genetic algorithm. The results show that the regulatory framework may present limitations that could affect the operational integration of ECs; however, the algorithm identifies regulatory improvements for the placement of energy injection points. In this way, it becomes evident that defining connection criteria could strengthen coordination among stakeholders and facilitate greater renewable penetration in low- and medium-voltage networks

Finally, regulatory approaches are proposed that combine incentive mechanisms with advanced optimization techniques to promote the adoption of ECs, supporting Colombia’s energy transition objectives. In addition, the findings and methodological approach presented in this work may serve as a reference for regulators in other countries seeking to promote clean energy solutions through evidence-based regulatory design.