Artículo
A fast implementation of coalitional model predictive controllers based on machine learning: Application to solar power plants
Autor/es | Masero Rubio, Eva
Ruiz-Moreno, Sara Domínguez Frejo, José Ramón Maestre Torreblanca, José María Camacho, Eduardo F. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2023 |
Fecha de depósito | 2023-01-10 |
Publicado en |
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Resumen | This article proposes a real-time implementation of distributed model predictive controllers to maximize the thermal energy generated by parabolic trough collector fields. For this control strategy, we consider that each ... This article proposes a real-time implementation of distributed model predictive controllers to maximize the thermal energy generated by parabolic trough collector fields. For this control strategy, we consider that each loop of the solar collector field is individually managed by a controller, which can form coalition with other controllers to attain its local goals while contributing to the overall objective. The formation of coalitions is based on a market-based mechanism in which the heat transfer fluid is traded. To relieve the computational burden online, we propose a learning-based approach that approximates optimization problems so that the controller can be applied in real time. Finally, simulations in a -loop solar collector field are used to assess the coalitional strategy based on neural networks in comparison with the coalitional model predictive control. The results show that the coalitional strategy based on neural networks provides a reduction in computing time of up to and a minimal reduction in performance compared to the coalitional model predictive controller used as the baseline. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Ministerio de Ciencia e Innovación (MICIN). España Ministerio de Ciencia e Innovación (MICIN). España Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | 78905
PID2020-119476RB-I00 IJC2018-035395-I FPU18/04476 FPU20/01958 |
Cita | Masero Rubio, E., Ruiz Moreno, S., Domínguez Frejo, J.R., Maestre Torreblanca, J.M. y Camacho, E.F. (2023). A fast implementation of coalitional model predictive controllers based on machine learning: Application to solar power plants. Engineering Applications of Artificial Intelligence, 118. https://doi.org/10.1016/j.engappai.2022.105666. |
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