| publication name | Interarea Power System Oscillations Damping via AI-based Referential Integrity Variable-Structure Control |
|---|---|
| Authors | MA Ebrahim; HS Ramadan |
| year | 2016 |
| keywords | adaptive control; fuzzy-logic control; inter-area oscillations; power system stabilizer; variable-structure algorithm |
| journal | International Journal of Emerging Electric Power Systems |
| volume | Not Available |
| issue | Not Available |
| pages | Not Available |
| publisher | DE GRUYTER |
| Local/International | International |
| Paper Link | https://www.degruyter.com/view/j/ijeeps.ahead-of-print/ijeeps-2016-0147/ijeeps-2016-0147.xml |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
The design of power system stabilizer (PSS) is load-dependent and needs continuous adjustment at each operating condition. This paper aims at introducing a robust non-fragile PSS for interconnected power systems. The proposed controller has the capability of adaptively tuning online its rule-base through a variable-structure direct adaptive control algorithm in order to rigorously attain the desired objectives. The PSS controller acts on damping the electromechanical modes of oscillations not only through a wide range of operating conditions but also in presence of different disturbances. Using MATLABTM-Simulink, simulation results significantly verify that the proposed controller provides favorable performance and efficiently contributes towards enhancing the system dynamic behavior when applied to the four machines two-area power system that mimics the typical system behavior in actual operation. The interaction between the variable-structure adaptive fuzzy-based power system stabilizer (VS-AFPSS) and the existed typical ones inside the interconnected power systems has been explicitly discussed. Compared to other conventional controllers, VS-AFPSS enables better damping characteristics to both local and inter-area oscillation modes considering different operating conditions and sever disturbances.