Flexible power system reinforcement planning under uncertainty

In this paper a model to derive reinforcement strategies driven by an economic criterium is presented. This model is based on a fuzzy optimal power flow formulation which assumes that loads are characterized by membership functions in the scope of the fuzzy set theory. Therefore subjective information or incompletely defined data can be included in the planning studies making it possible to characterize in a more adequate way the system behavior regarding the uncertainties of the future. Some risk concepts are also presented and integrated in this planning framework. The planner can identify the least costly reinforcement strategy in order to meet the desired risk index target so that a reduction of the system exposure towards the future is obtained