Estimation of modal parameters of low frequency oscillations in power system using Hankels total least square method

2018 ◽  
Author(s):  
Joice G Philip ◽  
Trapti Jain
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Least Square Method ◽  
Least Square ◽  
Modal Parameters ◽  
Low Frequency Oscillations ◽  
Total Least Square

scholarly journals Optimal Location and Design of TCSC controller For Improvement of Stability

2011 ◽  
pp. 210-215
Author(s):  
Swathi Kommamuri ◽  
P. Sureshbabu
Keyword(s):  
Power System ◽  
Optimization Problem ◽  
Low Frequency ◽  
System Stability ◽  
Simulation Environment ◽  
Swarm Optimization ◽  
Stability Performance ◽  
Low Frequency Oscillations ◽  
Simulation Results ◽  
The Stability

Power system stability improvement by a coordinate Design ofThyristor Controlled Series Compensator (TCSC) controller is addressed in this paper.Particle Swarm Optimization (PSO) technique is employed for optimization of the parameterconstrained nonlinear optimization problem implemented in a simulation environment. The proposed controllers are tested on a weakly connected power system. The non-linear simulation results are presented. The eigenvalue analysis and simulation results show the effectiveness and robustness of proposed controllers to improve the stability performance of power system by efficient damping of low frequency oscillations under various disturbances.

Oppositional Differential Search Algorithm for the Optimal Tuning of Both Single Input and Dual Input Power System Stabilizer

2021 ◽  
pp. 256-282
Author(s):  
Sourav Paul ◽  
Provas Kumar Roy
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Low Frequency ◽  
Input Power ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
Interconnected Power System ◽  
Low Frequency Oscillations ◽  
Single Input ◽  
System Stabilizer

Low frequency oscillation has been a major threat in large interconnected power system. These low frequency oscillations curtain the power transfer capability of the line. Power system stabilizer (PSS) helps in diminishing these low frequency oscillations by providing auxiliary control signal to the generator excitation input, thereby restoring stability of the system. In this chapter, the authors have incorporated the concept of oppositional based learning (OBL) along with differential search algorithm (DSA) to solve PSS problem. The proposed technique has been implemented on both single input and dual input PSS, and comparative study has been done to show the supremacy of the proposed techniques. The convergence characteristics as well authenticate the sovereignty of the considered algorithms.

Optimal Design of Single Machine Power System Stabilizer using Chemical Reaction Optimization Technique

2015 ◽  
Vol 4 (2) ◽  
pp. 51-69 ◽  
Author(s):  
Sourav Paul ◽  
Provas Kumar Roy
Keyword(s):  
Power System ◽  
Chemical Reaction ◽  
Optimization Technique ◽  
Low Frequency ◽  
Population Based ◽  
System Stability ◽  
Superior Performance ◽  
Chemical Reaction Optimization ◽  
Low Frequency Oscillations ◽  
Reaction Optimization

PSSs are added to excitation systems to enhance the damping during low frequency oscillations. The non-linear model of a machine is linearized at different operating points. Chemical Reaction optimization (CRO), a new population based search algorithm is been proposed in this paper to damp the power system low-frequency oscillations and enhance power system stability. Computation results demonstrate that the proposed algorithm is effective in damping low frequency oscillations as well as improving system dynamic stability. The performance of the proposed algorithm is evaluated for different loading conditions. In addition, the proposed algorithm is more effective and provides superior performance when compared other population based optimization algorithms like differential evolution (DE) and particle swarm optimization (PSO).

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