Discrete evolutionary particle swarm optimization for multiyear transmission expansion planning

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Manuel Costeira da Rocha (Autor) FEUP; João Tomé Saraiva (Autor) FEUP

Ata de Conferência Internacional

Título: PSCC 2011

Páginas: 1-8

17th PSCC - Power Systems Computation Conference

Estocolmo, 22 a 26 de Agosto de 2011

Indexação

ISI Proceedings

ISI Web of Science

Scopus - 8 Citações

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-00G-QPT

Abstract (EN): This paper presents a discrete approach, based on an improved integer version of the evolutionary particle swarm optimization (EPSO) algorithm, to solve the dynamic transmission expansion planning (TEP) problem. TEP corre-sponds to a mixed integer optimization problem that typically aims at identifying a schedule for transmission additions along an extended planning horizon considering operation and investment costs as well as a reliability index to measure the ability the system has to convey electricity from genera-tion to consumers. After detailing the mathematical formula-tion of the TEP problem, this paper describes the enhanced EPSO algorithm and details its application to the TEP prob-lem. The paper also includes a Case Study based on the IEEE 24 bus / 38 branch system to illustrate the application of the developed procedure.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8