Damping of Low Frequency Inter-Area Oscillations on Stressed Tie-Line using PSS

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

Damping of Inter-Area Low Frequency Oscillation Using an Adaptive Wide-Area Damping Controller

This paper presents an adaptive wide-area damping controller (WADC) based on generalized predictive control (GPC) and model identification for damping the inter-area low frequency oscillations in large-scale inter-connected power system. A recursive least-squares algorithm (RLSA) with a varying forgetting factor is applied to identify online the reduced-order linearlized model which contains do...

PSS design for damping of inter-area power oscillations by coherency-based equivalent model

In Japan, low-frequency oscillations have been observed on trunk transmission systems, and have been the subject for studies in fields of operation, control, and devices by many power system utilities. Power system stabilizers (PSS) are very effective controllers in enhancing the damping of low-frequency oscillations, since the controllers can increase damping torque for inter area modes by int...

Low Frequency Oscillations Suppression via CPSO based Damping Controller

In this paper, the Unified Power Flow Controller (UPFC) is enhanced with a Chaotic Particle Swarm Optimization (CPSO) Damping Controller in order to mitigate the Low Frequency Oscillations (LFO) in a Single Machine Infinite Bus (SMIB) power system. The designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...

A New Fuzzy Stabilizer Based on Online Learning Algorithm for Damping of Low-Frequency Oscillations

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...