A FUZZY APPROACH TO OPTIMAL POWER FLOW WITH UNCERTAIN ENERGY DEMAND

In this work, a linearized formulation of the optimum power flow problem with uncertain energy demand, represented by triangular fuzzy numbers, is solved by means of the logarithmic barrier interior points method. The surprise function is used to penalize energy demand values far from the most probable. Experiments in the IEEE systems and the national interconnected system point to greater effort and computational time in solving the problem, when compared to approaches that consider fixed energy demand. Despite this, the model presents itself as an advance, compared to formulations with deterministic demand, since it more adequately represents the energy variability of real systems.