Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm

被引：19

作者：

Dasu, Butti ^{[1
]}

Mangipudi, Sivakumar ^{[1
]}

Rayapudi, Srinivasarao ^{[2
]}

机构：

[1] Gudlavalleru Engn Coll, Dept EEE, Gudlavlleru 521301, Andhra Pradesh, India

[2] Univ Coll Engn, Dept EEE, JNTUK, Kakinada 533001, Andhra Pradesh, India

来源：

PROTECTION AND CONTROL OF MODERN POWER SYSTEMS | 2021年 / 6卷 / 01期

关键词：

Small-signal stability; Power system stabilizer; Stability; Modified single machine infinite bus system; Multi-machine system; Whale optimization algorithm; Eigenvalues; CONTROLLER-DESIGN; PLACEMENT; PSS;

D O I：

10.1186/s41601-021-00215-w

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A whale optimization algorithm (WOA)-based power system stabilizer (PSS) design methodology on modified single machine infinite bus (MSMIB) and multi-machine systems to enhance the small-signal stability (SSS) of the power system is presented. The PSS design methodology is implemented using an eigenvalue (EV)-based objective function. The performance of the WOA is tested with several CEC14 and CEC17 test functions to investigate its potential in optimizing the complex mathematical equations. The New England 10-generator 39-bus system and the MSMIB system operating at various loading conditions are considered as the test systems to examine the proposed method. Extensive simulation results are obtained which validate the effectiveness of the proposed WOA method when compared with other algorithms.

引用

页数：17

共 46 条

[1] A hybrid particle swarm optimization and bacterial foraging for power system stability enhancement [J].

Abd-Elazim, S. M. ;

Ali, E. S. .

COMPLEXITY, 2015, 21 (02) :245-255

[2] Optimal multiobjective design of robust power system stabilizers using genetic algorithms [J].

Abdel-Magid, YL ;

Abido, MA .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1125-1132

[3] 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

[4] A novel approach to conventional power system stabilizer design using tabu search [J].

Abido, MA .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1999, 21 (06) :443-454

[5] Robust design of multimachine power system stabilisers using tabu search algorithm [J].

Abido, MA ;

Abdel-Magid, YL .

IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2000, 147 (06) :387-394

[6] MULTIMACHINE POWER-SYSTEM STABILIZER DESIGN BASED ON NEW LQR APPROACH [J].

ALDEEN, M ;

CRUSCA, F .

IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1995, 142 (05) :494-502

[7] Optimization of Power System Stabilizers using BAT search algorithm [J].

Ali, E. S. .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 61 :683-690

[8]

[Anonymous], 2000, POWER SYSTEM OSCILLA

[9] Robust decentralised output feedback sliding mode control technique-based power system stabiliser (PSS) for multimachine power system [J].

Bandal, V. ;

Bandyopadhyay, B. .

IET CONTROL THEORY AND APPLICATIONS, 2007, 1 (05) :1512-1522

[10] Design of robust modified power system stabilizer for dynamic stability improvement using Particle Swarm Optimization technique [J].

Butti, Dasu ;

Mangipudi, Siva Kumar ;

Rayapudi, Srinivasa Rao .

AIN SHAMS ENGINEERING JOURNAL, 2019, 10 (04) :769-783

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