The fuzzy controllers have been applied to the power system stabilizer due to its excellent properties on the nonlinear systems. But the design process of fuzzy controller requires empirical and heuristic knowledge of human experts as well as many tri...
The fuzzy controllers have been applied to the power system stabilizer due to its excellent properties on the nonlinear systems. But the design process of fuzzy controller requires empirical and heuristic knowledge of human experts as well as many trial-and-errors in general. This process is time consuming task.
This paper presents the fuzzy power system stabilizer(FPSS) with the superior nonlinear adaptive characteristics. The proposed FPSS tune the quantize level, fuzzy rules, membership function and control output. The tuning method use the genetic algorithm and simulated annealing.
The proposed fuzzy power system stabilizer is applied to the one-machine infinite-bus of a power system. Through the comparative simulation with conventional stabilizer and fuzzy stabilizer tuning the membership function, the robustness of fuzzy stabilizer tuned by proposed method with respect to the nonlinear power system is verified.