| Title |
A Design of Fuzzy Power System Stabilizer using Adaptive Evolutionary Computation |
| Authors |
황기현(Hwang, Gi-Hyun) ; 박준호(Park, June-Ho) |
| Keywords |
Power System Stabilizer ; Adaptive Evolutionary Algorithm ; Genetic Algorithm ; Evolution Strategy |
| Abstract |
This paper presents a design of fuzzy power system stabilizer (FPSS) using adaptive evolutionary computation (AEC). We have proposed an adaptive evolutionary algorithm which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations. FPSS shows better control performances than conventional power system stabilizer (CPSS) in three-phase fault with heavy load which is used when tuning FPSS. To show the robustness of the proposed FPSS, it is appliedto damp the low frequency oscillations caused by disturbances such as three-phase fault with normal and light load, the angle deviation of generator with normal and light load and the angle deviation of generator with heavy load. Proposed FPSS shows better robustness than CPSS. |