Implementing the strength pareto evolutionary algorithm (SPEA) for the planning of electrical distribution systems including sag voltage

This article describes the implementation of the multi-objective evolutionary algorithm Pareto front (SPEA) for the planning of distribution system expansion, taking as target functions the investment costs and the number of Sag voltages expected per year. The algorithm is implemented by applying it to real distribution system, given some fixed system parameters such as the number of network segments, number of nodes and the number of initial population. Other variables that are proper of evolutionary algorithms such as percentage of generation population that crosses another (cross) and mutation are taken into consideration. It is concluded that the implementation of SPEA for planning real distribution systems is a good and efficient computational tool when it is necessary to consider several objective functions.