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MPPT BERBASIS ALGORITMA PARTICLE SWARM OPTIMIZATION UNTUK PV DENGAN KONDISI IRRADIANCE NORMAL DAN PARTIAL SHADING MENGGUNAKAN PENGENDALI DAYA SEPIC KONVERTER

Pramana, Wahyu Dianto (2018) MPPT BERBASIS ALGORITMA PARTICLE SWARM OPTIMIZATION UNTUK PV DENGAN KONDISI IRRADIANCE NORMAL DAN PARTIAL SHADING MENGGUNAKAN PENGENDALI DAYA SEPIC KONVERTER. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Photovoltaic(PV) is a device which is capable to converts solar irradiance into Direct Current(DC) electricity energy. To increase the power result of PV, it needs a method to track the Maximum Power Point(MPP) which is usually called Maximum power Point Tracking(MPPT). So that, the power result increased with low cost. The purpose of this research is to conduct MPPT modeling by Particle Swarm Optimization (PSO). The proposed method is implemented in DC to DC converter. This research used SEPIC converter. The purpose of using SEPIC converter is in order the output of current and voltage have smallest ripple. The modelling system is conducted by using MATLAB 2016a software to find out performance of PSO and SEPIC converter. The evaluation of PSO and SEPIC converter performance has been done. The simulation result shows that the proposed system has been working very well. The PSO has good accurateness in tracking and capable to to track the power produced by PV with velocity around ±4,2 seconds when in conditions STC, ±9,2 seconds when in conditions partial shading, despite a fluctuating irradiance change. While in SEPIC converter is able to reach efficiency of ≥ 80%.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201310130311048
Keywords: Photovoltaic(PV), Maximum Power Point(MPP), MPPT, Particle Swarm Optimization(PSO), STC, Partial Shading, SEPIC Converter
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: CKO Repository
Date Deposited: 11 Dec 2018 09:44
Last Modified: 11 Dec 2018 09:44
URI : http://eprints.umm.ac.id/id/eprint/41810

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