A multiple scenario security constrained reactive power planning tool using EPSO

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Hrvoje Keko (Author) Other; Álvaro Jaramillo Duque (Author) Other; Vladimiro Henrique Barrosa Pinto de Miranda (Author) FEUP

Journal

Title: Engineering Intelligent Systems

Vol. 15 No. 2

Pages: 83-89

ISSN: 1472-8915

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-004-9MD

Resumo (PT): Evolutionary Particle Swarm Optimization (EPSO) is a robust optimization algorithm belonging to evolutionary methods. EPSO borrows the movement rules from Particle Swarm Optimization (PSO) and uses it as a recombination operator that evolves under selection. This paper presents a reactive power planning approach taking advantage of EPSO robustness, in a model that considers simultaneously multiple contingencies and multiple load levels. Results for selected problems are summarized including a trade-off analysis of results.

Abstract (EN): Evolutionary Particle Swarm Optimization (EPSO) is a robust optimization algorithm belonging to evolutionary methods. EPSO borrows the movement rules from Particle Swarm Optimization (PSO) and uses it as a recombination operator that evolves under selection. This paper presents a reactive power planning approach taking advantage of EPSO robustness, in a model that considers simultaneously multiple contingencies and multiple load levels. Results for selected problems are summarized including a trade-off analysis of results.

Language: English

Type (Professor's evaluation): Scientific