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Experimental validation and intelligent control of a stand-alone solar energy conversion system using dSPACE platform

Yahiaoui, Fatah, Chabour, Ferhat, Guenounou, Ouahib, Zaouche, Faika, Belkhier, Youcef, Bajaj, Mohit, Shouran, Mokhtar ORCID:, Elgaml, Elmazeg and Kamel, Salah 2022. Experimental validation and intelligent control of a stand-alone solar energy conversion system using dSPACE platform. Frontiers in Energy Research 10 , 971384. 10.3389/fenrg.2022.971384

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This paper presents the performances of an artificial intelligent fuzzy logic controller (FLC) based maximum power point tracking (MPPT) and a conventional perturb and observe (P&O) based MPPT controller is presented for a stand-alone PV system and tested in an emulated test bench experimentation. The studied system is composed of a DC power supply emulating the PV panel, a DC/DC boost converter, a variable resistive load and a real-time MPPT controller implemented in the dSPACE DS1104 controller. To verify the performance of the FLC proposed, several simulations have been performed in Matlab/Simulink environment. The proposed method outperforms the P&O method in terms of global search capability and dynamic performance, according to the comparison with the P&O method. To verify the practical implementation of the proposed method, the control of the emulated PV source and the MPPT algorithms are designed using the simulink/Matlab environment and implemented on dSPACE DS1104 controller. Experimental results confirm the efficiency of the proposed method and its high accuracy to handle the resistance varying.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Engineering
Additional Information: License information from Publisher: LICENSE 1: URL:
Publisher: Frontiers Media
Date of First Compliant Deposit: 9 September 2022
Date of Acceptance: 28 July 2022
Last Modified: 10 Feb 2024 02:10

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