Power systems transient stability preventive control incorporating network series compensation with the aid of If-Then rules extracted from a multilayer perceptron artificial neural network

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). Characteristic of this paper is twofold. We may have one more degree of freedom by incorporation of series compensation when designing preventive control, and we may have additional flexibility in deploying preventive control actions by means of the proposed methodology. Two preventive control schemes are presented and applied to 39-bus power system. Extensive computational studies have demonstrated the effectiveness of the proposal.