Approach to choice of controls for probabilistic constrained load flow in the electric power system

In the paper the methods of probabilistic load flow, including linear method of generalized disturbance, are used to detect sensor variables in an electric power system, identify their probabilistic characteristics, detect critical variables, for which the probability that they lie in the feasible range is lower than the required one, and select the control actions to increase this probability. The controls are selected by the method similar to the method of deterministic equivalent by subsequently and iteratively solving deterministic and probabilistic problems. The tracing method makes it possible to choose from a set of possible controls a vector of control that contains the minimum number of components. The presented numerical results on the example of real network demonstrate the efficiency of the proposed approaches to the electric power system operation control.