Optimization of the operation of hydro stations in market environment using Genetic Algorithms

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Gil Sampaio (Autor) FEUP; João Tomé Saraiva (Autor) FEUP; José Carlos Sousa (Autor) FEUP

Ata de Conferência Internacional

Título: International Conference on the European Energy Market, EEM

Páginas: 1-8

10th International Conference on the European Energy Market, EEM 2013

Stockholm, 27 May 2013 through 31 May 2013

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 > Engenharia > Engenharia electrotécnica

Outras Informações

ID Authenticus: P-00A-4FR

DOI: 10.1109/eem.2013.6607278

Abstract (EN): This paper describes an approach to the short term operation planning of hydro stations in market environment. The developed approach is based on the solution of an optimization problem to maximize the profit of a generation agent along a planning period discretized in hourly steps using a Genetic Algorithm. This problem includes the possibility of pumping since this is an important resource in the scope of electricity markets. The scheduling problem was developed starting with an initial simplified version in which the head loss is neglected and the head is assumed constant. Then, it was implemented a second model in which the nonlinear relation between the head, the hydro power and the water discharge is retained and finally an approach in which the hydro schedule obtained in a given step is used to update the hourly electricity prices used to compute the profit of the generation agent. The short term hydro scheduling problem is illustrated using two Case Studies - the first one was designed to run a set of initial tests to the developed algorithm and the second one refers to a set of hydro stations that mirrors a cascade of 8 stations in Portugal. © 2013 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8