Coordinated Tuning of the Parameters of PSS and POD Controllers Using Bioinspired Algorithms

被引：48

作者：

Miotto, Ednei Luiz ^{[1
]}

de Araujo, Percival Bueno ^{[2
]}

Fortes, Elenilson de Vargas ^{[3
]}

Gamino, Bruno Rafael ^{[2
]}

Barone Martins, Luis Fabiano ^{[4
]}

机构：

[1] Fed Technol Univ Parana Toledo, Dept Elect Engn, BR-85902490 Curitiba, Parana, Brazil

[2] Sao Paulo State Univ, Dept Elect Engn, BR-15385000 Ilha Solteira, Brazil

[3] Goias Fed Inst Educ Sci & Technol, BR-75804714 Jatai, Brazil

[4] Parana Fed Inst Educ Sci & Technol, BR-86400000 Jacarezinho, Brazil

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2018年 / 54卷 / 04期

关键词：

Novel bat algorithm (NBA); power system stabilizers (PSSs); power oscillation damping (POD); small-signal stability; POWER-SYSTEM STABILIZERS; WIDE-AREA; DESIGN; OPTIMIZATION; TCSC;

D O I：

10.1109/TIA.2018.2824249

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a technique based on the novel bat algorithm (NBA) for the design of the parameters of power system stabilizers and the generalized Unified power flow controller-power oscillation damping in a multimachine power system. The objective is to ensureminimal damping rates to low-frequency electromechanical oscillation modes. Simulations were carried out on the New England system to compare the performance of the NBA with three other techniques: particle swarm optimization, bacterial foraging optimization oriented by particle swarm optimization, and the bat algorithm. For the cases analyzed in this paper, the NBA produced results superior to other techniques. Moreover, the proposed methodology was able to obtain solutions with high damping levels, which showed to be robust when a wide range of loading conditions of the power system were considered.

引用

页码：3845 / 3857

页数：13

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