[EN] Energy storage has become a fundamental component in renewable energy systems, especially those including batteries. However, in charging and discharging processes, some of the parameters are not controlled by the ...
[EN] In order to compensate the power quality issues that arise in distribution
grids with high penetration of renewable energy sources, an active power
filter device controlled by a novel model-based predictive controller, ...
Tarragona, Joan; Pisello, Anna Laura; Fernández, César; Cabeza, Luisa F.; Payá-Herrero, Jorge; Marchante-Avellaneda, Javier; de Gracia, Álvaro(Elsevier, 2022-01-15)
[EN] The present study analyses the performance of a heating system controlled by a model predictive control strategy, where the impact of different combinations of thermal energy storage tank volumes and installed PV power ...
Although high-pressure exhaust gas recirculation has been commonly used in turbocharged diesel engines for controlling
the NOx formation, recent advances in after-treatment and material technology make possible using a ...
Troncoso, Cristián; Suárez, Alejandro(Universitat Politècnica de València, 2017-07-09)
[ES] Este trabajo presenta el diseño y resultados de la implementación de una estrategia de control predictivo para el control del nivel de pulpa de un circuito de flotación primario de una minera ubicada en la tercera ...
Maestre, José María; Chanfreut, Paula; García Martín, Javier; Masero, Eva; Inoue, Masaki; Camacho, Eduardo F.(Universitat Politècnica de València, 2021-12-17)
[EN] Predictive control encompasses a family of controllers that continually replan the system inputs during a certain time horizon to optimize their expected evolution according to a given criterion. This methodology has ...
[ES] Este artículo trata el problema del diseño de un controlador predictivo para seguimiento de referencias cambiantes, en el caso de sistemas no lineales. Los controladores predictivos proveen leyes de control adecuadas ...
Palop Sánchez, Enrique Pablo(Universitat Politècnica de València, 2019-10-24)
[ES] Este trabajo aborda el desarrollo de un sistema de gestión combinada de la energía eléctrica y térmica para viviendas unifamiliares por medio de sistemas micro-CHP basados en pilas de combustible. En un mundo amenazado ...
[EN] This work reflects the results obtained, through simulation, from the study of the comfort constraints of a Model Predictive Controller (MPC), for the energy management of the centralized air conditioning system of a ...
Pérez Soler, Emilio; Ariño Latorre, Carlos Vicente; Blasco Ferragud, Francesc Xavier; Martínez Iranzo, Miguel Andrés(International Federation of Automatic Control, 2012)
This paper proposes an explicit solution to the model predictive control of linear systems subject to
non-convex polyhedral constraints. These constraints are modeled as the union of a finite number of
convex polyhedra. ...
Pajares Ferrando, Alberto; Vivas Fernandez, Francisco José; Blasco Ferragud, Francesc Xavier; Herrero Durá, Juan Manuel; Segura Manzano, Francisca; Andújar Márquez, José Manuel(2023-05-12)
This document compiles all the simulations performed to validate the EMS developed in the paper "Fundamentals for the design of energy management strategies for smart grids based on predictive control techniques. Methodology ...
Bordons, Carlos; García Torres, Félix; Valverde, Luis(Universitat Politècnica de València, 2015-04-12)
[ES] Este artículo se centra en los temas relacionados con la operación óptima de las microrredes, que son conjuntos de cargas, generadores y sistemas de almacenamiento de energía, aislados o conectados al resto de la red ...
Sanchís Saez, Javier(Universitat Politècnica de València, 2009-06-03)
El control predictivo basado en modelos o Model Predictive Control (MPC), no hace referencia al diseño concreto de un controlador sino más bien a un conjunto de ideas o características para el desarrollo de estrategias de ...
Laurí Pla, David; Sanchís Saez, Javier; Martínez Iranzo, Miguel Andrés; Hilario Caballero, Adolfo(International Federation of Automatic Control (IFAC), 2013-01)
This paper presents a methodology to constrain the optimisation problem in LV-MPC so that validity of predictions can be ascertained. LV-MPC is a model-based predictive control methodology implemented in the space of the ...
Pérez Soler, Emilio; Ariño Latorre, Carlos Vicente; Blasco, Xavier; Martínez Iranzo, Miguel Andrés(Elsevier, 2011)
[EN] This paper deals with the computation of the maximal closed-loop admissible set for linear systems with
non-convex polyhedral constraints. These constraints are modeled as the union of a finite number of
convex ...
[EN] A Model Predictive Control (MPC) strategy based on the Evolutionary Algorithms (EA) is proposed for the optimal dispatch of renewable generation units and demand response in a grid-tied hybrid system. The generating ...
Simarro Fernández, Raúl; Simó Ten, José Enrique; Navarro Herrero, José Luís; Poza-Lujan, Jose-Luis; Posadas-Yagüe, Juan-Luis(Universitat Politecnica de Valencia, 2016)
[ES] En este artículo se describe una estrategia de control distribuida, utilizando elementos empotrados, mediante un PLGGOHZDUH de
control denominado núcleo de control, en el que se implementan controladores digitales ...
Trintinaglia Perin, Augusto(Universitat Politècnica de València, 2022-10-27)
[ES] El trabajo propuesto utiliza dos tipos de información: la que proviene del entorno (V2I), y la que proviene de otros vehículos (V2V), para mejorar las características de los sistemas más importantes de los vehículos, ...
Ramos Fernández, César; Martínez Iranzo, Miguel Andrés; Sanchís Saez, Javier; Herrero Durá, Juan Manuel(Elsevier, 2008)
[EN] Min-Max optimization is often used for improving robustness in Model Predictive Control (MPC). An analogy to this optimization could be the BDU (Bounded Data Uncertainties) method, which is a regularization technique ...
Balaguer-Herrero, Pedro; Alfonso-Gil, José Carlos; Martínez-Márquez, Camilo Itzame; Martínez-Navarro, German; Orts-Grau, Salvador; Segui-Chilet, Salvador(Institute of Electrical and Electronics Engineers, 2022)
[EN] Model predictive control (MPC) is widely used in resource optimization problems because it naturally deals with bounded controls and states and allows predictive information to be included. However, at each sampling ...