Contribution à la modélisation et au contrôle de trajectoire de Trackers photovoltaïques à haute concentration (HCPV)

Abstract : This work focuses on improving the accuracy and on reducing the cost of the tracker generating trajectory strategy, in order to maximize the production and to reduce the installation and the maintenance cost of a solar tracker orienting high concentrated photovoltaic modules (HCPV). Initially, we propose a behavioral modeling of the HCPV module mounted on a dual axis tracker in order to study the influence of the tracking performance on the module power production. Then, this simulator can be used to test control strategies and to compare their performance. Firstly, a classical control strategy is implemented in the simulator. It is based on a hybrid control operating an astronomical calculation to follow the sun path, and a sun sensor to correct the tracking error. A sensorless strategy is proposed in this work to reduce the cost of the HCPV tracker control. This strategy is based on a gradient optimization algorithm to generate the tracker trajectory and to catch the sun path. Tested on the simulator, this strategy presents the same accuracy as the classical strategy while being less costly. The last study proposed in this thesis work concerns maximum power point tracking (MPPT) algorithms, in order to respond to a given problem relating to the practical implementation of gradient algorithm. In this context, we propose an original optimization of the P&O MPPT control with a neural network algorithm leading to a significant reduction of the computational cost required to train it. This approach, which is ensuring a good compromise between accuracy and complexity is sufficiently fast to not affect the quality of the evaluation of the gradient.
Document type :
Theses
Complete list of metadatas

https://pastel.archives-ouvertes.fr/tel-01269847
Contributor : Abes Star <>
Submitted on : Friday, February 5, 2016 - 1:35:19 PM
Last modification on : Thursday, November 7, 2019 - 5:12:50 PM
Long-term archiving on : Saturday, November 12, 2016 - 10:42:21 AM

File

SAHNOUN.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01269847, version 1

Citation

Mohamed Aymen Sahnoun. Contribution à la modélisation et au contrôle de trajectoire de Trackers photovoltaïques à haute concentration (HCPV). Automatique / Robotique. Ecole nationale supérieure d'arts et métiers - ENSAM, 2015. Français. ⟨NNT : 2015ENAM0043⟩. ⟨tel-01269847⟩

Share

Metrics

Record views

1769

Files downloads

10242