This paper proposes novel technique for multi – machine power system stabilizer using an adaptive Neuro- Fuzzy inference system based on Error reference model (ERANFIS). The adaptive Neuro- Fuzzy inference system based on Error reference power system stabilizer (RNFIS PSS) uses a first order sugeno-type fuzzy logic controller whose membership function and consequences are also tuned on –line by use of neural network according to gradient decent learning algorithm based on error reference model. The simulated power system consists of single – machine – infinite – bus and multi – machine power system. The proposed ERANFIS PSS are designed for each machine. The simulation results use Matlab and S-function technique for various test, and it shows that the proposed stabilizer (ERANFIS PSS) has better performance than that of conventional power system stability (CPSS).
Volume 11 | 01-Special Issue
Pages: 1799-1810