Multiobjective allocation of remotely controlled switches in an electric distribution power system

Because of the growing necessity of decreasing restoration time of electric power services after a failure, it becomes extremely relevant to look for new optimization techniques. This work proposes a new method to solve the remotely controlled switches devices allocating problem in an electric power distribution system. An Evolutionary Multiobjective Algorithm inspired the proposed technique. The Strength Pareto Evolutionary Algorithm (SPEA) was chosen as the optimization method, with an adaptation function based on the minimization of the amount of remotely controlled switches to be allocated, the energy not supplied due to the failures, and the maximization of the system reliability. To validate the proposed method, it was tested with a Paraguayan electric distribution system and experimental results were compared to the solutions suggested by a previously published algorithm, proving the advantages of the proposed method.