scholarly journals Mitigation of power oscillations using hybrid DE-PSO optimization-based SSSC damping controller

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Soudamini Behera ◽  
Ajit Kumar Barisal ◽  
Nirmalya Dhal ◽  
Deepak Kumar Lal
Keyword(s):  
Power Systems ◽  
Controller Design ◽  
Low Frequency ◽  
Pso Algorithm ◽  
Parallel Transmission ◽  
Low Frequency Oscillations ◽  
Power Oscillations ◽  
Three Phase ◽  
Simulation Results ◽  
Damping Controller

AbstractThis paper presents an optimal design of a static synchronous series compensator (SSSC)-based controller for damping of low-frequency oscillations in multi-machine power systems. The proposed controller design problem is formulated to the optimization problem. The tuning of controller parameters can be obtained by employing a new hybrid differential evolution and particle swarm optimization (hDE-PSO) algorithm. To justify the effectiveness of the proposed SSSC-based damping controller, three-machine and four-machine power systems have been considered. The hDE-PSO algorithm outperforms in the damping of oscillations over DE and PSO algorithms. Various simulation results are presented and compared for different load disturbances like three-phase fault, load rejection and tripping of one parallel transmission line. The simulation results ensure the robustness of the proposed controller.

Damping Controller Based on Output Prediction Observer and LMI Method

2011 ◽  
Vol 219-220 ◽  
pp. 1371-1374
Author(s):  
Ke Luo ◽  
Hai Ying Yu
Keyword(s):  
Time Delay ◽  
Power Systems ◽  
Low Frequency ◽  
Test System ◽  
Wide Area ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Simulation Results ◽  
Wide Area Damping Controller ◽  
Damping Controller

To damp the inter-area low-frequency oscillation in power systems, a wide-area damping supplementary inter-area controller, based on output prediction observer and LMI method, was designed in this paper. Simulation results of a test system show that the wide-area damping controller can well damp inter-area low-frequency oscillation, and is insensitive to time-delay to some degree.

scholarly journals Optimal Supplementary Controller Design for IPFC to Damp Low-Frequency Oscillations in Power Systems

2020 ◽  
Vol 18 (1) ◽  
pp. 76-80
Author(s):  
Dr. Shankarappa F Kodad ◽  
◽  
Dr. Dakka.Obulesu ◽  
Manjunatha S C ◽  
◽  
...  
Keyword(s):  
Power Systems ◽  
Controller Design ◽  
Low Frequency ◽  
Low Frequency Oscillations

Real-Coded Genetic Algorithm for Robust Design of UPFC Supplementary Damping Controller

2012 ◽  
pp. 283-288
Author(s):  
S. C. Swain ◽  
S. Mohapatra ◽  
S. Panda ◽  
S. R. Nayak
Keyword(s):  
Genetic Algorithm ◽  
Phase Angle ◽  
Single Machine ◽  
Low Frequency ◽  
Low Frequency Oscillations ◽  
Damping Controllers ◽  
Real Coded Genetic Algorithm ◽  
Simulation Results ◽  
Single Machine Infinite Bus ◽  
Damping Controller

In this paper RCGA is used in Designing UPFC based supplementary damping controllers for damping low frequency oscillations in a single machine infinite bus power system. The detail investigations have been carried out considering the four alternatives UPFC based damping controller namely modulating index of series inverter (MB),modulating index of shunt inverter (ME),phase angle of series inverter (∂B) & phase angle of shunt inverter (∂E).RCGA is employed to optimize damping controller parameters. Simulation results are presented & compared with a conventional method of tuning the damping controller parameters to show effective of the proposed design approach.

A Clustering-Based Approach for Estimation of Low Frequency Oscillations in Power Systems

2020 ◽  
Vol 35 (6) ◽  
pp. 4666-4677
Author(s):  
Piyush Warhad Pande ◽  
Saikat Chakrabarti ◽  
Suresh Chandra Srivastava ◽  
Subrata Sarkar
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Low Frequency Oscillations

PSO OPTIMIZATION FOR SOLAR SYSTEM INVERTER CONTROLLER AND COMPARISON BETWEEN TWO CONTROLLER TECHNIQUES

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Maher. G. M. Abdolrasol ◽  
M A Hannan ◽  
Azah Mohamed
Keyword(s):  
Solar System ◽  
Controller Design ◽  
Pso Algorithm ◽  
Pi Controller ◽  
Housing Unit ◽  
Current Waveform ◽  
Phase Voltage ◽  
Swarm Optimization ◽  
Three Phase ◽  
Controller Performance

This paper explains a deep comparison between two controller techniques firstly controller control on modulation index and the second controller use dq method. Both of these controller approaches have control on three phase voltage and use the same system unchanged. The system is a solar system together with a backup battery connected to a single housing unit. Particle Swarm Optimization (PSO) algorithm has been utilized to improve the controller performance by automatically finding its parameters in order to reduce the error in the proportional Integral (PI) controller. Optimization process has been done with a real recording data of housing unit demand in Malaka, Malaysia. System has been simulated and tested in MATLAB/Simulink environment with m-file runs PSO algorithm and simulate the system hundreds of times to get the best results showing in this paper. Comparisons were taking place in controller design and in the simulation results that express the strength and weaken points of each controller starts with THD voltage and current waveform and RMS voltage in each controller.  

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.

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