Optimal power rescheduling for system security using stochastic second-order load flow

This paper proposes a method for optimal corrective rescheduling of generation for system security applications in power system real-time control. Because of input data (load and generation) uncertainty due to measurement error, forecast in accuracy or demand variation, a full stochastic load flow model based on a second-order solution algorithm is used for system monitoring and a linear programming formulation based on sensitivity coefficients is used to obtain minimal-cost adjustments of generation patterns. The routines were developed on a minicomputer.