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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.

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