RUIZ ARAHAL , Manuel

Energy load forecasting for optimization of chiller operation is a topic that has been receiving increasing attention in recent years. From an engineering perspective, the methodology for designing and deploying a forecasting system for chiller operation should take into account several issues regarding prediction horizon, available data,...

This paper deals with the identification of a nonlinear plant by means of a neural network (NN) modelling approximation. The problem of neural identification is tackled using a static NN in a NARX configuration. A method is proposed to obtain the number of past values needed to feed the network. The on-line adaptation of the model and other...

El control predictivo de corrientes de estátor precisa una estimación de las corrientes rotóricas que son, usualmente, no medibles. Estas corrientes afectan a la evolución de la corriente de estátor y por tanto afectan a las predicciones usadas por el controlador. El procedimiento habitual consiste en estimar el efecto que producen dichas...

La invención presenta sistemas de almacenamiento de energía mediante la compresión / descompresión de un gas y su almacenamiento en baterías submarinas en las que se ajusta el par provocado por las fuerzas de flotación del gas y del peso del contrapeso, i

This work presents a novel optimization method for the implementation of finite-state modelbased predictive current controllers in electrical drives. The proposal avoids the usual exhaustive search to find the control action, reducing the computational burden. The method is based on physical considerations of the power converter voltage vectors...

Finite state model predictive control (FSMPC) of multiphase drives can use an extra number of inverter configurations compared with the three-phase case. This, however, requires more computing power for the optimization phase. The application time of each selected voltage vector (VV) is then increased, which can result in higher harmonic...

Virtual voltage vectors (VVV) have been used for the control of multi-phase induction machines, where different sub-spaces appear related to the torque production and losses generation. In the literature, several sets of VVV have been used, aiming at reducing harmonic content while maintaining a low computational burden. This paper proposes the...

Constant torque motors are needed for rotary screw compressors that are used for cooling and other applications. In such systems, the torque demanded by the load is approximately the same over the whole range of mechanical speeds. In this paper, the use of multi-phase induction machines is investigated for this type of application. The...

The selection of input variables plays a crucial role when modelling time series. For nonlinear models there are not well developed techniques such as AIC and other criteria that work with linear models. In the case of Short Term Load Forecasting (STLF) generalization is greatly influenced by such selection. In this paper two approaches are...

Call centers are nowadays a widespread solution to deal with customer support and as platform for different kind of business. Call center staffing is crucial to provide adequate service levels at acceptable costs. The task is usually accomplished using heuristics with the help of a human experts or with some static offline optimization based on...

En este artículo se muestra el desarrollo de un programa para la generación, explotación y mantenimiento de modelos de producción a corto plazo del consumo de energía eléctrica. El programa de nombre SICONEL ha sido probrado con los datos suministrados por la Compañía Sevillana de Electricidad. Los modelos que el programa utiliza son redes de...

En este artículo se expone un método para conocer qué fracción de un campo solar se encontrará sombreada por el efecto de una nube interpuesta en la linea que une el campo solar con el sol mediante el análisis de una secuencia de imágenes tomadas antes de que suceda dicho acontecimiento. Para obtener la posición futura de una nube es...

Min-max model predictive controllers (MMMPC) have been proposed for the control of linear plants subject to bounded uncertainties. The implementation of MMMPC suffers a large computational burden due to the numerical optimization problem that has to be solved at every sampling time. This fact severely limits the class of processes in which this...

En el campo de los accionamientos eléctricos de velocidad variable ha aparecido recientemente el m´etodo predictivo basado en vectores virtuales de tensión. Este método permite reducir la contribución del voltaje en el subespacio x-y, en el cual no se produce par, sino pérdidas. De este modo no sólo se limitan las pérdidas sino que se reduce la...

Multiphase machines are increasingly used in research and industry applications due to their inherent advantages. Stator current control is a common strategy for this type of systems. The most important issue it must face is regulation of currents in the torque producing plane and the harmonic plane. For this task, finite control set model...

Modern electric machines are attracting great interest from the research community as a result of the increasing number of current applications, including electric vehicles and wind power generators, among others. Different machines, power converters, and control technologies are used, and the number of sensors is usually minimized to reduce...

En este artículo se presenta el modelado de un sistema de abastecimiento de energía frigorífica basado en enfriadoras de agua refrigeradas por aire, al que se le ha añadido un sistema de almacenamiento de energía. Con ello se pretende satisfacer la demanda de frío de una gran instalación. El modelado de cada uno de los elementos se ha integrado...

Finite-control-set model predictive control (MPC) including virtual/synthetic voltage vectors (VVs) has been recently proposed for the high-performance regulation of multiphase induction motor drives. However, the performance of VV-MPC still deteriorates when the predictive model presents inaccuracies due to simplifying assumptions or erroneous...