Advanced robust adaptive power system stabilizer based on linear and non-linear control techniques

This paper present comparative study between two advanced control techniques, applied on the AVR - PSS (Automatic Voltage Regulator - Power System Stabilizer) systems of the synchronous generators. The first method used the non-linear unified Neuro - Fuzzy PSS automated design, based on hybrid technology ANFIS (Adaptive Neuro-Fuzzy Inference System).This technology includes the transformation of fuzzy system into the adaptive network which has the property to train itself on a wide range of operating conditions. Using this technology, it is possible to get quality indexes, which are similar to the results achieved now with the use of conventional PSS, but having various gains of stabilization channels in different operating conditions. The second method is by using the robust linear H Stabilizer, who was applied as a test control system in this work. The simplest single machine-infinite Bus (SMIB) system was used for evaluation of effectiveness of the proposed methods. Stabilizers suggested in this work have the same structure as the traditional Russian PSS. The simulation results show high performances and robustness using the first regulation technique method (ANFIS), due to the physical initial (real) non-linear power system.