Multiobjective optimization of distributed generation portfolio insertion strategies

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.