A neuro-optimal control power system stabilizer: a comparative study

An optimized configuration of a power system stabilizer (PSS) based on the artificial neural network (ANN) and the linear optimal control (LOC) is presented. The suggested PSS is the best outcome of a detailed comparison of different configurations of artificial neural network power system stabilizers (ANN-PSSs). The contribution is to have a suggested PSS with minimum measurement effort and optimum response based on a solid mathematical base. SIMULINK runs show that an optimized configuration can be reached. The optimized ANN-PSS improves the dynamic response of the power system over various loading conditions, and even under different disturbances.