This paper presents a novel development of neuro-fuzzy coordination between Static synchronous series compensators (SSSC) to damp the oscillations in a multi-machine power system. The oscillations in power systems have to be taken a serious note of when the fault occurs in any part of the system, else this might lead to the instability mode and shutting down of the power system. The SSSC based ...

Static Synchronous Compensator (STATCOM) can improve power factor and dynamic stability on power system. STATCOM is Multiple Input and Multiple Output (MIMO) system, which can be presented by a mathematical model. This paper presents an application of Particle Swarm Optimization (PSO) as a modern tool to design controller parameter of weighting matrices Q and R of the LQ optimal control to obta...

This paper presents transient stability and power flow models of static synchronous compensator (STATCOM) and current Sourced Inverter (CSI) based Flexible AC Transmission System (FACTS) Controllers. A model of the static synchronous compensator (STATCOM), the application of the static synchronous compensator (STATCOM) in improving transient stability in power systems.MATLAB/SIMULINK is used to...

This work explores the potential of Bspline based Adaptive NeuroFuzzy Wavelet control to damp low frequency power system oscillations using Static Synchronous Series Compensator (SSSC). A comparison of direct and indirect adaptive control based on Hybrid Adaptive Bspline Wavelet Control (ABSWC) is presented by introducing the online identification block. ABSWC with Identification (ABSWCI) provi...

using the facts controllers, such as static synchronous compensator (statcom), as it provides continuous reactive power, in the grid including wind turbine (wt) equipped with doubly fed induction generator, for improving voltage profile (under normal circumstances) and providing a transition ability from inductor generator transition state has been proposed. in this paper, in order to control t...

Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software. This paper proposes a novel robust artificial neural network identifier (RANNI) by combining a sensor evaluation and (missing sens...