Abstract
A fuzzy power system stabilizer (FPSS) is developed using the concept of fuzzy basis functions. The linguistic rules, regarding the dependence of the plant output on the controlling signal, are used to build the initial FPSS. Based on the Lyapunov's direct method, an adaptation rule is developed in order to make the FPSS adaptive to changes in operating conditions of the power system. The FPSS is designed for a cogenerator, and simulation studies are based on a one machine-infinite bus model. Nonlinear simulations reveal that the performance of the adaptive fuzzy power system stabilizer (AFPSS) is better than the performance of a conventional (linear) power system stabilizer (CPSS) and a fixed-parameter FPSS for a wide range of operating conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 1564-1570 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Energy Conversion |
| Volume | 14 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1999 |
Keywords
- Adaptive control
- Adaptive fuzzy systems
- Fuzzy basis functions
- Fuzzy logic
- Power system stabilizer
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering