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Title: | Proposal of an optimization tool for demand response in island electricity systems (IES) using the Simplex method and Generalized reduced gradient (GRG) | Authors: | Lozano Medina, Juan Carlos Henríquez Concepción, Vicente Mendieta Pino, Carlos Alberto León Zerpa, Federico Antonio |
UNESCO Clasification: | 3313 Tecnología e ingeniería mecánicas 3307 Tecnología electrónica |
Keywords: | Simplex method Generalized reduced gradient algorithm Optimization model Energy policy Renewable energy, et al |
Issue Date: | 2024 | Project: | Mitigación del cambio climático a través de la innovación en el ciclo del agua mediante tecnologías bajas en carbono | Journal: | Journal of King Saud University - Science | Abstract: | Island electricity generation systems (IES) pose challenges in the integration of renewable energies that are compatible with security of supply. This work proposes a methodology and a proposed decision tool that allows the optimization of the production of different generation systems, both renewable and non-renewable, setting a series of objectives such as the reduction of greenhouse gases (GHG), production costs and at the same time fulfilling the best coverage in dynamic response, security, scalability, and integration. This tool is based on operational research, mathematical optimization methods, specifically the simplex algorithm and the generalized reduced gradient (GRG) and proposes different combinations to achieve an energy production that meets the demand, minimizing fuel consumption and greenhouse gas (GHG) emissions. | URI: | http://hdl.handle.net/10553/132321 | ISSN: | 1018-3647 | DOI: | 10.1016/j.jksus.2024.103345 | Source: | Journal of King Saud University - Science [1018-3647], v. 36 (9) , October 2024, 103345 |
Appears in Collections: | Artículos |
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