Design of power system stabilizers using two level fuzzy and adaptive neuro-fuzzy inference systems

This paper deals with a design of two level power system stabilizer. Former one is conventional, while the latter level is designed using one of the following two methods: fuzzy inference system (FIS) and adaptive neuro-fuzzy inference system (ANFIS). The main function of the conventional level is to stabilize unstable or poorly stable systems, while the second – which is designed using (FIS) or (ANFIS) – improves the total response in order to achieve required results. This technique is applied on a three machine nine bus power system. As expected, the Adaptive neuro-fuzzy inference system (ANFIS) damps out the low frequency oscillations in the better manner than fuzzy inference system (FIS).

► We introduced a novel approach for designing power system stabilizer. ► We design two level power system stabilizer using ANFIS. ► We examine the methods FIS and ANFIS on a three machine nine bus power system. ► ANFIS damps out low frequency oscillations better than FIS.