Small signal stability enhancement of a multi-machine power system using robust and adaptive fuzzy neural network-based power system stabilizer

摘要: This paper presents a design procedure for robust and adaptive fuzzy neural network-based power system stabilizer (RAFNNPSS) investigates the robustness feature of RAFNNPSS single machine connected to an infinite bus multi-machine systems in order enhance dynamic stability (small signal system). The parameters are tuned by network (NN). uses inference (ANFIS) network, which provides natural framework multi-layered feed forward using logic system. In this approach, hybrid-learning algorithm tunes rules membership functions RAFNNPSS. Speed deviation synchronous generator its derivative chosen as input signals performance single-machine (SMIB) system, two-area, five-machine, eight-bus large (10-machine, 39-bus New England system) with proposed under different operating conditions change have been investigated. simulation results obtained from conventional PSS (CPSS) Fuzzy logic-based (FPSS) compared demonstrate that performs well damping quicker response when other two PSSs. Copyright © 2008 John Wiley & Sons, Ltd.