A probabilistic approach to control variable adjustment for power system planning applications

This paper applies probabilistic load flow techniques to network constrained setting of control variables based on sensitivity analysis. The method determines operating constraint violations for a whole planning period together with the probability of each violation and leads to the satisfaction of these constraints with a minimum number of control corrective actions in a desired order. The paper investigates the effects of high dispersion in the input variables in order to assess the effectiveness of the method for long-term planning applications.