Cooperative Control for Damping Inter-Area Oscillations Using Dynamic State Information

Design of Wide-area Damping Control Systems for Power System Low-frequency Inter-area Oscillations

Delay-Scheduled Controllers for Inter-Area Oscillations Considering Time Delays

Unlike the existing views that was introduced the existence of delay caused by the transmission of wide area measurement system data (WAMS) into the controllers input of the power oscilation damping (POD) by communication networks as a reason for poor performance of the POD controllers. This paper shows that the presence of time delay in the feedback loop may improve the performance of a POD co...

Decentralized Robust Control for Damping Inter-area Oscillations in Power Systems

As power systems become more and more interconnected, the inter-area oscillations has become a serious factor limiting large power transfer among different areas. Underdamped (Undamped) inter-area oscillations may cause system breakup and even lead to large-scale blackout. Traditional damping controllers include Power System Stabilizer (PSS) and Flexible AC Transmission System (FACTS) controlle...

Nonlinear Control of UPFC in Power System for Damping Inter Area Oscillations

This paper introduces a new nonlinear control of flexible ac transmission systems (FACTS) controllers for the purpose of damping interarea oscillations in power systems. FACTS controllers consist of series, shunt, or a combination of series-shunt devices which are interfaced with the bulk power system through injection buses. Controlling the angle of these buses can effectively damp low frequen...

Hybrid Adaptive Recurrent Neurofuzzy Based SVC Control for Damping Inter-Area Oscillations

The study proposes a Static Var Compensator (SVC) design to improve the power system damping in the presence of some physical disturbances. An online hybrid Adaptive Recurrent Neuro Fuzzy (ARNF) control based on Gaussian membership function is presented in this paper to exaggerate the SVC to damp out oscillations. The proposed ARNF strategy is nonlinear and robust to meet the control objectives...