Robust control in a multimachine power system using adaptive neuro-fuzzy stabilisers

A robust artificially intelligent adaptive neuro-fuzzy power system stabiliser (ANF PSS) design for damping electromechanical modes of oscillations and enhancing power system synchronous stability is presented. An actual power system is decomposed into separate subsystems, each subsystem consisting of one machine. The local ANF PSS is associated with each subsystem. The local feedback controllers rely only on information particular to their subsystem. The input signals are the speed, power angle and real power output. Nonlinear simulations show the robustness of the ANF PSS.