Maximum Power Point Tracking Using Differential Evolution Algorithm on the SEPIC Converter for Solar Panels Under Partially Shaded Conditions

Tantya, Henny Sukmawati Dwi Aries and Danangwijaya, F. and Hadi, Sasongko Pramono (2024) Maximum Power Point Tracking Using Differential Evolution Algorithm on the SEPIC Converter for Solar Panels Under Partially Shaded Conditions. In: 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 12-13 Juli 2024, Balikpapan.

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Abstract

Photovoltaic (PV) systems often encounter issues stemming from partial shading, which not only diminishes system output power but also compromises safety and operational efficiency. Employing Maximum Power Point Tracking (MPPT) with utmost efficiency enables PV systems to consistently achieve peak power production. To address shading-induced challenges, a differential evolution algorithm is utilized within the Maximum Power Point (MPP) tracking algorithm, allowing for effective tracking of the global MPP even amidst partial shading scenarios. In this study, a Single-Ended Primary Inductor Converter (SEPIC) converter integrated with an MPPT system is employed to optimize power extraction from PV panels, particularly under conditions characterized by multiple peaks in both the P-V and I-V curves. The proposed algorithm demonstrates the capability to track the global MPP within a timeframe of 0.8 seconds.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Library Dosen
Uncontrolled Keywords: Differential Evolution, Maximum Power Point Tracking, Partial Shading, DC-DC Converter, Single-Ended Primary-induction Converter
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 28 Apr 2025 03:43
Last Modified: 28 Apr 2025 03:43
URI: https://ir.lib.ugm.ac.id/id/eprint/13487

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