Comparison of MPPT optimization methods for P&O and PSO solar panels to overcome partial shading

• Autorzy: Simanjuntak Imelda Uli Vistalina , Haidi Junas , Putra Ricky Fajar Ade , Medriavin Lukman

Identyfikatory

DOI

10.24425/ijet.2024.152090

• Języki publikacji: EN

Abstrakty

EN

Solar panels in enclosed areas are prone to suboptimal absorption of sunlight due to unstable sunshine. Two methods to optimize solar panel efficiency are available: dynamic and static. The dynamic method involves moving the panels towards the sun to maximize solar irradiation, while the static method uses a power converter to find the maximum power point. This research evaluates the performance of the MPPT system, which uses the P&O method with PSO, on solar panels. The objective is to determine the most appropriate MPPT algorithm to optimize the efficiency of solar panels. The MPPT system's efficiency is tested under partial shading conditions of 100 w/m2, 300 w/m2, and 500 w/m2. The system's output is evaluated based on the highest efficiency parameter value. The efficiency of the P&O and PSO methods is compared, and the most optimal efficiency is determined. The MPPT system is designed to measure parameters that are demonstrated qualitatively.

Słowa kluczowe

EN

MPPT; observe and observe; simulink matlab; solar panels; particle swarm optimization

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2024
• Tom: Vol. 70, No. 4
• Strony: 1023--1029
• Opis fizyczny: Bibliog. 26 poz., rys., tab.

Twórcy

autor

Simanjuntak Imelda Uli Vistalina

• Universitas Mercu Buana

• https://orcid.org/0000-0002-6102-2604

autor

Haidi Junas

• Universitas Bengkulu

autor

Putra Ricky Fajar Ade

• PLN Indonesia

autor

Medriavin Lukman

• Universitas Mercu Buana, Indonesia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).