Improved Sliding Mode Control Based on Perturb & Observe for Maximum Power Point Tracking from PV System

This paper gives a comparison between the maximum power point control algorithms of the Photovoltaic system (PVs) with Perturb & Observe (P&O), Sliding mode control (SMC) and Sliding mode control improved (SMC improved). Since the nonlinear nature of Voltage-Current characteristics is highly...

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Bibliographic Details
Published in:	2023 8th International Scientific Conference on Applying New Technology in Green Buildings (ATiGB) pp. 109 - 115
Main Authors:	Nguyen Khoa, Le Tu, Truc, Ho Xuan, Tung, Tran Thanh, Le Nhat Hoang, Tran, Sy, Nguyen Duc
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10-11-2023
Subjects:	Boost converter Maximum power point trackers maximum power point tracking (MPPT) Perturb & Observe (P&O) Photovoltaic systems (PVs) Sliding mode control (SMC) SMC improve Software packages Stability analysis Temperature Temperature control Temperature dependence Voltage fluctuations
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Summary:	This paper gives a comparison between the maximum power point control algorithms of the Photovoltaic system (PVs) with Perturb & Observe (P&O), Sliding mode control (SMC) and Sliding mode control improved (SMC improved). Since the nonlinear nature of Voltage-Current characteristics is highly dependent on temperature and solar irradiance, therefore, the authors will consider their changes based on possible cases in practice, then compare and choose the best method for PV s. Currently, the authors can use many different methods to improve the most optimal conditions for PVs. Especially, it can be mentioned that the method of changing the surface of the SMC improve algorithm based on P&O algorithm for boost converter, the authors will see high efficiency, high maximum point power, stability, accuracy with fast convergence rate although the weather changes equally according to specific environmental conditions through simulation on the MATLAB SIMULINK.
DOI:	10.1109/ATiGB59969.2023.10364375