Performance of a ANFIS based PSS with tie line active power deviation feedback

In this paper, the authors report on the design, simulation and validation of a new input signal Adaptive Neuro-Fuzzy Inference System (ANFIS) based Power System Stabilizer (PSS) for a multi-machine power system and investigate its performance in damping low frequency local and inter-area oscillations. Instead of conventional input pairs like speed deviation (¿¿) and acceleration (¿¿) in this paper, deviation of active power through the tie line connecting two areas (¿P_tis)is used as one of the inputs to the neuro-fuzzy PSS in conjunction with the speed deviation. The advantage of this input is that, the same signal can be fed to each of the neuro-fuzzy based PSS attached with each machine, which reduces cost, scanning time and thus simplifies the structure. Performances of proposed neuro-fuzzy PSS in damping both local and inter-area mode of oscillation are observed. Apart from the simplicity and cost effectiveness, it is found that the proposed PSS is performing satisfactorily within the whole range of disturbances. This comparative study is demonstrated through digital simulation.