Hybrid Discrete Evolutionary PSO for AC Dynamic Transmission Expansion Planning

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Gomes, PV (Autor) Outra; João Tomé Saraiva (Autor) FEUP

Ata de Conferência Internacional

Título: 2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON)

IEEE International Energy Conference (ENERGYCON)

Leuven, BELGIUM, APR 04-08, 2016

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 11 Citações

Outras Informações

ID Authenticus: P-00M-NY8

DOI: 10.1109/energycon.2016.7514130

Abstract (EN): Multiyear Transmission Expansion Planning (TEP) aims to determine how and when a transmission network capacity should be expanded taking into account an extended horizon. This is an optimization problem very difficult to solve and that has unique characteristics that increase its complexity such as its non-convex search space and its integer and nonlinear nature. This paper describes a hybrid tool to solve the TEP problem, including a first phase to select a list of equipment candidates conducted by a Constructive Heuristic Algorithm (CHA), and a second phase that uses Discrete Evolutionary Particle Swarm Optimization (DEPSO) for the final planning. Both phases use the AC power flow model as a way to improve the realism of the developed tool. The paper includes a case study based on the IEEE 24-Bus Reliability Test System and the results show that tools based on swarm intelligence applied to reduced search spaces are able to find good quality solutions with low computational effort.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6