Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1562
Título: Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch
Autor: Vale, Zita
Ramos, Carlos
Faria, Pedro
Soares, João
Canizes, Bruno
Teixeira, Joaquim
Khodr, H. M.
Palavras-chave: Artificial intelligence techniques
Ancillary services dispatch
Electricity markets
Evolutionary particle swarm optimization
Genetic algorithm
Linear programming
Data: 2010
Editora: Springer Berlin Heidelberg
Relatório da Série N.º: Lecture Notes in Computer Science; Vol. 6096
Resumo: This paper proposes two meta-heuristics (Genetic Algorithm and Evolutionary Particle Swarm Optimization) for solving a 15 bid-based case of Ancillary Services Dispatch in an Electricity Market. A Linear Programming approach is also included for comparison purposes. A test case based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is used to demonstrate that the use of meta-heuristics is suitable for solving this kind of optimization problem. Faster execution times and lower computational resources requirements are the most relevant advantages of the used meta-heuristics when compared with the Linear Programming approach.
URI: http://hdl.handle.net/10400.22/1562
ISBN: 978-3-642-13021-2
978-3-642-13022-9
ISSN: 0302-9743
Versão do Editor: http://link.springer.com/chapter/10.1007/978-3-642-13022-9_73
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