In this paper, an optimal insertion strategy model of power plant units from a Distributed Generation portfolio is proposed. The study is based on a multiobjective formulation involving economical, technical and environmental aspects, and it consists of determining the quantity of units of each power plant that will be inserted in a distribution network by planning stage, considering some known specifications, expansion sceneries and constraints. The modeling aims to obtain a Pareto frontier set of solutions, which is addressed utilizing a multiobjective Particle Swarm algorithm and the Maximin metric. An application example is presented to test the proposed procedure; a metric to measure the diversity of the obtained frontier is employed, and the Max-Min approach is used as decision criterion.

The expansion of the electric power system by large central generators linked to end consumers through extensive transmission lines, at an ever-increasing voltage, points toward a complementarity and an ever-increasing participation of Distributed Generation (DG). In this manner, there is a need to define criteria and technical criteria for the assessment of DG projects that ensure returns on investment. This article proposes a modeling of technical criteria through multiattribute value functions to analyze the technical benefits stemming from DG projects. To accomplish this goal, a multicriteria methodology will be applied which allows for the simultaneous treatment of the diverse technical aspects necessary in the planning and decision-making processes, as well as the implementation of the Utility Theory to define a behavior that is averse, willing or neutral to a determined criterion.