Prevention of transient instability employing rules based on back propagation based ANN for series compensation

Power system preventive control is dominated by generation rescheduling. Other preventive control actions are rarely mentioned in the literature. This paper presents a transient stability preventive control design that takes series compensation into account. The design methodology is aided with the ‘IF–THEN’ rules extracted from a trained multilayer perceptron (MLP) artificial neural network (ANN). The proposed method can add more degrees of freedom by incorporation of series compensation, and have additional flexibility in deploying preventive control actions. Two preventive control schemes are presented and applied to 39-bus power systems. Extensive computational studies have demonstrated the effectiveness of the proposal.

► Power system preventive control is governed by generation rescheduling.
► Series compensation can be also used to enhance power system stability.
► This paper designs preventive control that considers series compensation.
► The design methodology is aided with rules extracted from back propagation ANN.
► Extensive computational studies show the effectiveness of the proposal.