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
... [Show full abstract] 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