Optimal Control of Hybrid Photovoltaic/Thermal Water System in Solar Panels Using the Linear Parameter Varying Approach

During photovoltaic (PV) conversion in solar panels, a part of the solar radiation is not converted to electricity by the cells, producing heat that could increase their temperature. This increase in temperature deteriorates the performance of the PV panel. In this paper, a hybrid PV/thermal (PV/T)...

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Bibliographic Details
Published in:Processes 2023-12, Vol.11 (12), p.3426
Main Authors: Jamaaoui, Faycel, Puig, Vicenç, Ayadi, Mounir
Format: Article
Language:English
Subjects:
Alternative energy sources
Analysis
Climate change
Control algorithms
Control systems
Cooling
Efficiency
Electric power production
Electricity
Electricity generation
Emissions
Feedback
Feedback control
Fossil fuels
Gain scheduling
Heat
Hybrid systems
Kalman filters
Linear matrix inequalities
Linear quadratic regulator
Mathematical models
Optimal control
Parameters
Photovoltaic cells
R&D
Radiation
Research & development
Sensors
Solar energy
Solar energy industry
Solar panels
Solar radiation
State feedback
Systems stability
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Summary:During photovoltaic (PV) conversion in solar panels, a part of the solar radiation is not converted to electricity by the cells, producing heat that could increase their temperature. This increase in temperature deteriorates the performance of the PV panel. In this paper, a hybrid PV/thermal (PV/T) water system is proposed to mitigate this problem. This system combines a PV panel and a thermal collector. In this paper, we focused on the modeling and control of this hybrid system in the linear parameter varying (LPV) framework. An optimal linear quadratic regulator (LQR) is proposed to control the PV cell temperature around an optimal value that maximises electricity generation. Since the system model is nonlinear, an optimal LQR gain-scheduling state-feedback control approach based on an LPV representation of the nonlinear model is designed using the Linear Matrix Inequality (LMI) method. The goal is to obtain the maximum electrical power for each solar panel. Since a reduced number of sensors is available, an LPV Kalman filter is also proposed to estimate the system states required by the state-feedback controller. The obtained results in a laboratory setup in simulation are used to assess the proposed approach, showing promise in terms of control performance of the PV/T system.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr11123426