Coordinated tuning of power system stabilizers using bio-inspired algorithms

• Published in: International journal of electrical power & energy systems Vol. 64; pp. 419 - 428
• Main Authors: Peres, Wesley, de Oliveira, Edimar José, Passos Filho, João Alberto, da Silva Junior, Ivo Chaves
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-01-2015
• Subjects: Algorithms; Ant colony optimization; Bat algorithm; Coordinated control; Damping; Electric power generation; Genetic algorithm; Genetic algorithms; Optimization; Small-signal stability; Tuning; Coordinated control; Small-signal stability; Ant colony optimization; Bat algorithm; Genetic algorithm
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2014.07.040

•Comparison study among three bio-inspired optimization algorithms.•Didactic approach to a complex problem in power systems analysis.•Evaluation of a multi-scenario problem.•Computational performance evaluation of the bio-inspired optimization techniques.
This paper presents a comparison study among three bio-inspired optimization algorithms applied to solve the power system stabilizers tuning problem: Ant Colony Optimization, Bat Algorithm and Genetic Algorithm. The tuning procedure is formulated as an optimization problem which aims at minimizing the system damping taking into account a set of pre-specified operating scenarios. The proposed methodologies are applied to stabilizers tuning of the well-known New England test system.