Optimal correction of the state parameters in power system

Nonlinear optimization tasks for power system state scheduling lead to complexities at the on-line correction of variables. The paper considers a stochastic optimization problem with corrective functions. The problem solution gives scheduled values of the state variables and the adjustment coefficients for corrective functions. The preliminarily obtained corrective functions allow a very easy and quick organization of the on-line optimal state correction when unforeseen deviations in operation conditions occur. A case study demonstrating the efficiency of state control using the suggested approach is considered