SciELO - Scientific Electronic Library Online

 
vol.18 issue2State-of-the-Art: Incentives and Strategies for Penetration of Renewable EnergyDevelopment of a weather station and a computational tool for the evaluation of wind and solar resources author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Técnica energía

On-line version ISSN 2602-8492Print version ISSN 1390-5074

Abstract

MONTEROS, Marcelo. Predictive recommendation model for the energy dispatch of the Paute Hydropower complex. Revista Técnica energía [online]. 2022, vol.18, n.2, pp.104-112. ISSN 2602-8492.  https://doi.org/10.37116/revistaenergia.v18.n2.2022.478.

This work proposes to make the most of the water resource used for the generation of electricity in Ecuador. Three models based on artificial intelligence have been made for the Mazar, Molino and Sopladora hydroelectric plants that belong to the Paute-Integral hydroelectric complex. For the implementation of the predictive recommendation algorithms, the behavior of the Mazar, Molino and Sopladora plants was first modeled, after which optimization was carried out to maximize electricity generation according to the capacity of the hydroelectric plants and hydrology. Finally, with the results obtained, it is observed that the maximization of electricity generation is achieved for the Mazar and Molino plants. Regarding the Sopladora plant, whose energy dispatch depends directly on the electricity generation of the Molino plant, the evaluation point remains to measure the impact produced by the optimization of the Molino plant.

Keywords : Hydroelectric disp atch; Energy dispatch optimization; predictive model.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )