Electrical reallocation of transformers in distribution systems using genetic algorithms

This paper proposes a probabilistic model to optimize the reallocalion of transformers with inadequate electrical loading in secondary circuits of distribution systems. The proposed probabilistic model is also compared to one deterministic model. The proposed model, based oil the genetic algorithm technique, produces equivalent results to the deterministic model, but offers the advantage of being able to offer various solutions very close to the best global solution to problem. This range of alternatives offers flexibility to the distribution system planner when choosing the solution to be adopted. In this sense, only micro-economics optimization criteria were considered.