Alocação ótima de subestações e determinação de suas áreas de influência.

Abstract

The present work analyzes the problem of the allocation of possible new points of energy supply and determines its area of ​​influence making use of mathematical programming techniques. The allocation of resources in the electric network can be classified as a typical transport problem [3,4]. The most appropriate technique to solve this problem depends fundamentally on how the costs of substation and line implementation are considered. That is, if they suffer only linear variations with the power flowing through them or if the costs are non-linear with power. The most commonly considered non-linear are the fixed costs resulting from the substation deployments. The problem was solved by applying branch and boundary techniques to minimize the cost function subject to performance constraints. From the solution of the problem we obtain in response: - the effectively used capacity of each substation and its area of ​​influence; - the deployment cost for each new system configuration; - the cost of implementing the added lines; - the cost of implementation of the substations added; - the cost of loss on the lines; - the date of entry into operation of each new line or substation of the system; a linearized load flow subroutine provides the active power flows in the lines of the configuration obtained with the mathematical programming model.