Modelo resiliente de redes de distribución considerando flujos de potencia basado en teoría de grafos

Abstract

The resilience concept of distribution networks is an emerging issue such as solution against extreme weather conditions due to its stochastic nature and its high degree of affectation to the topological structure of the network such as key factor into the strategy of development of sustainable energy. Therefore, this paper offers a routing resilient and deployment of the distribution network based on some meta-heuristic optimization algorithms, approach on the optimal location of the transformers and, minimum spanning tree (MST) based on the PRIM algorithm variant has been applied to find the optimum distribution network routing before, during and after an extreme weather condition, minimizing the distance associated to each bay as an objective function. It should be noted that the model was tested in a real geo-referenced scenario with statin charges during the event, using algebraic system MATLAB. By didactic subjects the power flow was run with the help of the software Cymdist.