Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

Abstract

Model predictive control has been demonstrated to be one of the most efficient control techniques for solar power systems. An incremental offset-free state-space Model Predictive Controller (MPC) is developed for the Fresnel collector field located at the solar cooling plant installed on the roof of the Engineering School of Sevilla. A robust Luenberger observer is used for estimating the states of the plant which cannot be measured. The proposed strategy is tested on a nonlinear distributed parameter model of the Fresnel collector field. Its performance is compared to that obtained with a gain-scheduling generalized predictive controller. A real test carried out at the real plant is presented, showing that the proposed strategy achieves a very good performance.

Neuro-fuzzy Modelling of a Linear Fresnel-type Solar Collector System as a Digital Twin

“…The modeling of the Fresnel field is developed using similar equations to the case of parabolic trough fields modeling [24], but differ in the way of calculating the geometric efficiency, the shade factor and the thermodynamic properties of the fluid. The LFC system can be modeled using two different approaches: i) the concentrated parameter model used in control applications because its simplicity [19,20,22] and ii) the distributed parameter model which takes into account the spatial distribution of the system providing a more precise description [6,10,5]. The distributed parameter model is used for simulation purposes.…”

“…Successful applications of This work uses ANFIS to model an energy system, specifically the Linear Fresnel Collector (LFC) system of the ETSI of the University of Seville, which is part of the solar cooling plant installed. Since the dynamics of this kind of systems is highly nonlinear, a complex model is needed to describe this dynamics [6]. In order to develop optimal control and optimization strategies which use the prediction of the solar field temperature, a fast model is indispensable.…”

Proportional–integral‐like fuzzy controller of a small‐scale linear fresnel reflector solar plant

“…Simulation results showed better performance at low flow in comparison with the linear MPC controller. In [20], an incremental state‐space MPC was developed for the LFR field where a robust Luenberger observer was used as a state estimator. A comparison of the simulation results with [18] showed improvements by 29.69% in the integral time of absolute error (ITAE) and 46.74% in integral of square error (ISE) criterion.…”

Hybrid Nonlinear MPC of a Solar Cooling Plant

“…If solar radiation is not high enough for heating the water up to the required temperature, the storage tank can be used. If neither the solar field nor the storage tank are able to heat the water up to the operation temperature, the absorption machine uses natural gas [11].…”