A Genetic Approach for Loss Reduction in Power Distribution Systems under Variable Demands

This paper proposes genetic algorithm approaches (GA) to solve the problem of loss reduction in power distribution systems under variable demands, by network reconfiguration. A new formulation that avoids switching operations but considers time variation of loads is adopted. The chromosome representation improves performance of the GA by avoiding infeasibility in the evolution process. A heuristic procedure that grasps knowledge from the operation of distribution systems is incorporated in the GA, characterizing a hybrid genetic algorithm (HGA). Parameter adaptation is adopted to control the convergence of the algorithm. Case study with real power distribution systems illustrate the possibilities of the approach.