Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation

• Autor(a) principal: Deepti, Rani
• Data de Publicação: 2010
• Outros Autores: Moreira, Madalena
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: http://hdl.handle.net/10174/3060
• topic: Simulation optimization modeling; Reservoir system operation; Linear programming; Dynamic programming; Nonlinear programming; Evolutionary computation; Fuzzy set theory; Neural networks

This paper presents a survey of simulation and optimization modeling approaches used in reservoir systems operation problems. Optimization methods have been proved of much importance when used with simulation modeling and the two approaches when combined give the best results. The main objective of this review article is to discuss simulation, optimization and combined simulation– optimization modeling approach and to provide an overview of their applications reported in literature. In addition to classical optimization techniques, application and scope of computational intelligence techniques, such as, evolutionary computa- tions, fuzzy set theory and artificial neural networks, in reservoir system operation studies are reviewed. Conclusions and suggestive remarks based on this survey are outlined, which could be helpful for future research and for system managers to decide appropriate methodology for application to their systems.