Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10400.22/1391
Título: | LMP based bid formation for virtual power players operating in smart grids |
Autor: | Vale, Zita Morais, H. Faria, Pedro Canizes, Bruno Sousa, Tiago |
Palavras-chave: | Artificial intelligence Artificial neural networks Energy resources management Intelligent power systems Locational Marginal Prices (LMP) Particle swarm optimization |
Data: | 2011 |
Editora: | IEEE |
Resumo: | Power system organization has gone through huge changes in the recent years. Significant increase in distributed generation (DG) and operation in the scope of liberalized markets are two relevant driving forces for these changes. More recently, the smart grid (SG) concept gained increased importance, and is being seen as a paradigm able to support power system requirements for the future. This paper proposes a computational architecture to support day-ahead Virtual Power Player (VPP) bid formation in the smart grid context. This architecture includes a forecasting module, a resource optimization and Locational Marginal Price (LMP) computation module, and a bid formation module. Due to the involved problems characteristics, the implementation of this architecture requires the use of Artificial Intelligence (AI) techniques. Artificial Neural Networks (ANN) are used for resource and load forecasting and Evolutionary Particle Swarm Optimization (EPSO) is used for energy resource scheduling. The paper presents a case study that considers a 33 bus distribution network that includes 67 distributed generators, 32 loads and 9 storage units. |
URI: | http://hdl.handle.net/10400.22/1391 |
DOI: | 10.1109/PES.2011.6039853 |
ISBN: | 978-1-4577-1000-1 |
Versão do Editor: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6039853 |
Aparece nas colecções: | ISEP – GECAD – Comunicações em eventos científicos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
COM_ZitaVale_2011_GECAD.pdf | 1,13 MB | Adobe PDF | Ver/Abrir Acesso Restrito. Solicitar cópia ao autor! |
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.