Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch
| Data(s) |
13/05/2013
13/05/2013
2010
17/04/2013
|
|---|---|
| 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. |
| Identificador |
DOI 10.1007/978-3-642-13022-9_73 978-3-642-13021-2 978-3-642-13022-9 0302-9743 |
| Idioma(s) |
eng |
| Publicador |
Springer Berlin Heidelberg |
| Relação |
Lecture Notes in Computer Science; Vol. 6096 http://link.springer.com/chapter/10.1007/978-3-642-13022-9_73 |
| Direitos |
closedAccess |
| Palavras-Chave | #Artificial intelligence techniques #Ancillary services dispatch #Electricity markets #Evolutionary particle swarm optimization #Genetic algorithm #Linear programming |
| Tipo |
bookPart |
