Multiyear Transmission Expansion Planning using Discrete Evolutionary Particle Swarm Optimization

• 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: 2011 8th International Conference on the European Energy Market, EEM 11

Páginas: 802-807

2011 8th International Conference on the European Energy Market, EEM 11

Zagreb, 25 May 2011 through 27 May 2011

Indexação

ISI Proceedings

Scopus

INSPEC

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

DOI: 10.1109/EEM.2011.5953119

Abstract (EN): The objective of Transmission Expansion Planning (TEP) is to minimize the network construction and operational costs while satisfying the requirement of delivering electricity safely and reliably to load centres along the planning horizon. This principle is quite simple, but the complexity of the problem and the impact on society transforms TEP on a challenging issue. The objective of this paper is the introduction of a new discrete approach to solve dynamic TEP, based on an improved discrete version of the evolutionary particle swarm optimization (EPSO) meta-heuristic algorithm. The paper includes sections describing in detail the EPSO enhanced approach, the mathematical formulation of the problem, including the objective function and constraints, and the application of EPSO to this problem. Finally, the use of the developed approach is illustrated using a case study based on the IEEE 24 bus / 38 branch test system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6