Reconfiguración óptima de alimentadores primarios como una estrategia de planificación para el mejoramiento del desempeño operativo de los sistemas eléctricos de distribución

Abstract

This paper presents a methodological proposal for the optimal reconfiguration of distribution systems using of genetic algorithms based on graph and matroid theory, to be applied in primary feeders as a medium-term planning strategy. The methodology considers several stages, such as: modeling of the current network, evaluation of current network conditions, topological analysis of the network, planning of alternatives, evaluation of contingencies, structuring and coding of the optimization model, and optimal reconfiguration of the net. The reconfiguration stage presents a problem of multiobjective optimization that consists in the minimization of power losses and voltage levels without altering the coordination of protection of the network, that is, by complying with the selectivity and sensitivity of the protections. For the validation of the optimization model, the IEEE-33 nodes test network is used, while to test the applicability to real-world systems, the Atocha S / E network of the Ambato Electric Company is used.