Optimal damping for generalized unified power flow controller equipped single machine infinite bus system for addressing low frequency oscillation

被引:11
作者
Rahman, Md Maksudur [1 ]
Ahmed, Ashik [1 ]
Galib, Md Mehedi Hassan [1 ]
Moniruzzaman, Md [1 ]
机构
[1] Islamic Univ Technol IUT, Dept Elect & Elect Engn, Gazipur, Bangladesh
关键词
GUPFC; Low frequency oscillation; SMIB; PI controller; Lead-lag controller; Eigenvalue based objective function; Kolmogorov-Smirnov (KS) test; Paired sample t-test; GWO; DE; PSO; WOA; CWOA; COORDINATED DESIGN; DIFFERENTIAL EVOLUTION; PID CONTROLLER; OPTIMIZATION; UPFC; PSS; PLACEMENT; ALGORITHM; GUPFC; TCSC;
D O I
10.1016/j.isatra.2021.01.031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Low frequency oscillation (LFO) is one of the major concerns for reliable operation of the power system. This LFO occurs due to the failure of the rotor to supply sufficient damping torque to compensate the imbalance between mechanical input and electrical output. Hence, in this paper, we adopt a third generation flexible AC transmission system (FACTS) device named generalized unified power flow controller (GUPFC) based damping controller in order to investigate its effect for mitigating LFO for an single machine infinite bus (SMIB) system. To find an effective damping controller-optimizer pair, we integrate proportional-integral (PI) or lead-lag as a controller and grey wolf optimizer (GWO), differential evolution (DE), particle swarm optimization (PSO), whale optimization algorithm (WOA), and chaotic whale optimization algorithm (CWOA) as an optimizer. Later, we investigate the performances for the above mentioned controller-optimizer pairs through time domain simulation, eigenvalue analysis, nyquist stability test, and quantitative analysis. Moreover, we carry out two non-parametric statistical tests named as one sample Kolmogorov-Smirnov (KS) test and paired sample t - test to identify statistical distribution as well as uniqueness of our optimization algorithms. Our analyses reveal that the GWO tuned lead-lag controller surpasses all other controller-optimizer combinations. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:97 / 112
页数:16
相关论文
共 71 条
[1]   Simultaneous stabilization of multimachine power systems via genetic algorithms - Discussion [J].
Taranto, GN ;
Falcao, DM ;
do Bomfim, ALB .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (04) :1438-1438
[2]   Damping controller design for power system oscillations using global signals [J].
AboulEla, ME ;
Sallam, AA ;
McCalley, JD ;
Fouad, AA .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (02) :767-773
[3]   An optimization methodology of susceptance variation using lead-lag controller for grid connected FSIG based wind generator system [J].
Ahmed, Ashik ;
Galib, Md. Mehedi Hassan ;
Zaman, Shafi Md. Kawsar ;
Sarowar, Golam .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (01) :197-217
[4]   Optimal design of proportional-integral controllers for stand-alone solid oxide fuel cell power plant using differential evolution algorithm [J].
Ahmed, Ashik ;
Ullah, Md. Shahid .
SPRINGERPLUS, 2016, 5
[5]  
Ahmed GE, 2016, PROCEEDINGS OF 2016 EIGHTEENTH INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON), P226, DOI 10.1109/MEPCON.2016.7836895
[6]  
[Anonymous], 2014, P IEEE INT C INF TEC
[7]  
[Anonymous], 2000, UNDERSTANDING FACTS
[8]   An Adaptive Power Oscillation Damping Controller by STATCOM With Energy Storage [J].
Beza, Mebtu ;
Bongiorno, Massimo .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) :484-493
[9]  
Bizon N, 2013, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-1-4471-5538-6
[10]   Interconnected multi-machine power system stabilizer design using whale optimization algorithm [J].
Dasu, Butti ;
Sivakumar, Mangipudi ;
Srinivasarao, Rayapudi .
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2019, 4 (01)