ANN based adaptive control coordination of PSSs and FACTS devices in multi-machine power systems

This paper proposes a new procedure for the coordination of the control of PSSs and supplementary damping controller of TCSC for enhancing the stability of the electromechanical modes in a multi-machine power system. The controller parameters are adaptive to the changes in system operating condition and/or configuration. Central to the design is the use of an ANN synthesized to give in its output layer the optimal controller parameters adaptive to system operating condition and configuration. In this approach the system configuration is represented by a reduced nodal impedance matrix which is given as the input to the ANN. Only power network nodes with direct connections to generators and FACTS devices are retained in the reduced nodal impedance matrix. The system operating condition is represented in terms of the measured generator power loadings, which are also taken as input to the ANN. For a representative power system, the ANN is trained and tested for a wide range of credible operating conditions and contingencies. Time-domain simulations are used for the testing and verification of the dynamic performance of the neural-adaptive controller.