Modelo Resiliente de Redes de Distribución Considerando Flujos de Potencia Basado en Teoría de Grafos

The concept of resilience in distribution networks is an emerging issue as a feasible solution to face extreme weather conditions, due to its stochastic nature and its high degree of affectation to the topological structure of the network, as key factors within the sustainable energy development strategy. Therefore, this paper provides a resilient routing and deployment of the distribution network, based on a meta-heuristic mathematical model, for the optimal placement of transformers and, minimum spanning tree (MST) based on the PRIM algorithm variant to find the optimal routing of the distribution system before, during and after an extreme catastrophic event, minimizing the distance associated with each span as an objective function. It should be noted that the model was tested in a real georeferenced scenario with static loads using the MATLAB algebraic system. To solve the electrical feasibility, the power flow was simulated with Cymdist software, taking into account the distances of the loads.