Remuneration of Distribution Networks using a Fuzzy Multicriteria Planning Algorithm

Abstract

In this paper, the remuneration of fixed costs of distribution networks with distributed generation is evaluated by means of an efficient planning strategy that includes the concept of fuzzy robustness of a given solution plan. As a key contribution, it is included the possibility of choice among different conductor sizes in order assess the deep costs by overcapacity introduced by distributed generation. A single-stage multicriteria linear problem is stated using three different criteria: investment cost, power losses cost and reliability cost. Pareto or efficient plans are identified using the -constraint method jointly with a large-scale commercial package able to deal with Mixed-Integer Linear Programming (MILP). Uncertainty associated to load demand and power injec-tions of distributed resources are integrated using a fuzzy power flow in order to obtain the robustness indexes of each Pareto solution. The annualized fixed charge rate (AFCR) associated to new and existing di