Control of a Solar Energy Systems

8th IFAC Symposium on Advanced Control of Chemical ProcessesThe International Federation of Automatic Control Singapore, July 10-13This work deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power technologies, its development status and then describes the main challenges encountered when controlling solar power systems. While in other power generating processes, the main source of energy can be manipulated, in solar energy systems, the main source of power which is solar radiation cannot be manipulated and furthermore it changes in a seasonal and on a daily base acting as a disturbance when considering it from a control point of view. Solar plants have all the characteristics needed for using industrial electronics and advanced control strategies able to cope with changing dynamics, nonlinearities and uncertainties.Ministerio de Ciencia e Innovación PI2008-05818Ministerio de Ciencia e Innovación DPI2010-21589-C05-01/04Junta de Andalucía P07-TEP-0272

Modelling Free Response of a Solar Plant for Predictive Control

IFAC System Identification, Kitakyushu, Fukuoka,Japan,1997This 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 issues are discussed. In order to show the benefits that can be achieved with the proposed methods, the NN model is used within a Model Predictive Control (MPC) framework. The MPC scheme uses the prediction of the output of the system calculated as the sum of the free response (obtained using the nonlinear NN model) and the forced response (obtained linearizing around the current operating point) to optimize a performance index. The control scheme has been applied and tested in a solar power plant

Adaptive control of a solar furnace for material testing

IFAC Adaptive Systems in Control and Signal Processing. Glasgow. Scotland. UK. 26/08/1998This paper presents an adaptive control system for controlling the temperature of a solar furnace, which is a high solar concentrating facility made up of heliostats tracking the sun and reflecting solar radiation onto a static parabolic concentrating system at the focal spot of which a high percentage of the solar energy collected by the collector system is concentrated in a small area. A large attenuator (shutter) placed between the collector system and the concentrator serves to control the amount of solar energy used for heating the samples placed at the focal spot. The paper shows the results obtained in the application of adaptive PI controllers to a solar furnace, incorporating feedforward action, anti-windup and slew rate constraint handling mechanisms

Control of Solar Power Systems: a survey

9th International Symposium on Dynamics and Controlof Process Systems (DYCOPS 2010)Leuven, Belgium, July 5-7, 20109This paper deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power technologies, its development status and then describes the main challenges encountered when controlling solar power systems.Ministerio de Ciencia y Tecnología DPI2008-05818Ministerio de Ciencia y Tecnología DPI2007-66718-C04-04Junta de Andalucía P07-TEP-0272

A Robust Adaptive Dead-Time Compensator with Application to A Solar Collector Field

This paper describes an easy-to-use PI controller with dead-time compensation that presents robust behaviour and can be applied to plants with variable dead-time. The formulation is based on an adaptive Smith predictor structure plus the addition of a filter acting on the error between the output and its prediction in order to improve robustness. The implementation of the control law is straightforward, and the filter needs no adjustment, since it is directly related to the plant dead-time. An application to an experimentally validated nonlinear model of a solar plant shows that this controller can improve the performance of classical PID controllers without the need of complex calculations.Ministerio de Ciencia y Tecnología TAP95-37

Nota de Redacción

[ES] Nota sobre el reconocimiento científico de la revista y el interés que los lectores están mostrando.Berenguel, M.; Santos, M. (2019). Nota de Redacción. Revista Iberoamericana de Automática e Informática. 16(3):ii-ii. http://hdl.handle.net/10251/122335SWORDiiii16

Selección de variables en la predicción de llamadas en un centro de atención telefónica

En este artículo se ilustra la importancia de la selección de variables independientes para modelos neuronales destinados a la predicción de la demanda en un centro de atención telefónica. Los modelos tienen como objetivo ayudar en la planificación semanal del personal del centro, tarea que se realiza con 14 días de antelación. Los modelos requeridos pueden hacer uso de gran cantidad de variables independientes. Sin embargo, el número de casos que pueden ser usados para obtener los parámetros del modelo es escaso debido a los cambios socio-económicos. Esto plantea la necesidad de seleccionar cuidadosamente las variables independientes y utilizar el menor número posible de ellas, de otro modo la generalización del modelo se degradaría. Para resolver el problema se utiliza un método mixto que permite trabajar con un alto número de variables candidatas, en una primera fase, y seleccionar más cuidadosamente un número menor de variables en una segunda fase. Los resultados obtenidos por los modelos resultantes de aplicar el método propuesto y sus variantes son analizados utilizando datos reales de un centro de atención telefónica. Los resultados de la comparación muestran que la correcta selección de variables independientes es vital para este tipo de aplicación.Unión Europea HYCON FP6-511368

Nota de Redacción

Se plantea la situación actual de la Revista Iberoamericana de Automática e Informática IndustrialAlbertos Pérez, P.; Berenguel Soria, M. (2018). Nota de Redacción. Revista Iberoamericana de Automática e Informática industrial. 15(4). http://hdl.handle.net/10251/142819OJSii15