Generation of fuzzy rules to develop fuzzy logic modulation controllers for damping of power system oscillations

Design of a fuzzy logic controller needs qualitative knowledge about the system under consideration. This knowledge is usually obtained from experienced human controllers, or using analytical/heuristical techniques. However, with large/complex interconnected power systems, it is extremely difficult to obtain the necessary knowledge from human controllers or using conventional analytical/heuristical techniques. An approach to ascertain the relationships among variables to generate fuzzy rules is presented in this paper. The proposed method is based on system response to pulse input signals applied at appropriate instances. Use of this approach, along with sequential decentralised control design techniques for developing DC current and generator excitation modulation controllers to improve damping of oscillations in an AC-DC interconnected power systems, is presented in this paper. Simulation results reveal the successful application of the proposed rule base derivation approach along with sequential decentralised control techniques to design fuzzy logic modulation controllers for damping improvement of power systems