evaluation of non-utility generation impacts on preventive-corrective control of power systems

this paper describes a new method for the evaluation of non-utility generation impacts on preventive-corrective control of power systems. the proposed method relies on a mixed integer nonlinear optimization and is capable of recognizing the effectiveness of demand side preventive-corrective actions. a number of cases are presented to illustrate the consequences of introducing demand side actions. in particular, it is shown that using the proposed method can significantly reduce total security cost. this algorithm provides a basis for negotiations between the power system operators and potential providers of demand side preventive-corrective actions.