Power system state scheduling with the two-stage problem

Traditional statements of optimization problems in power system state scheduling lead to complexities at the on-line correction of variables. This paper considers a stochastic optimization problem with corrective functions of the given analytical type. The problem solution gives scheduled values of the state variables and the adjustment coefficients for corrective functions. The corrective functions represent a response of the control system to the unforeseen deviations in operation conditions. The preliminarily obtained coefficients of corrective functions allow a very easy and quick organization of the on-line optimal state correction. Dual variables of the optimization task can be corrected as well for fast spot price adjustment. A case study demonstrating the efficiency of state control using the suggested approach is considered.