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Fuzzy Maximum Power Point Tracking (MPPT) Controler for Photovoltaic system on mini Greenhouse
Ratna Ika Putri , Heri Setiawan, Bambang Irawan, Mochammad Junus, Tundung Subali Patma, Erlillah Rizqi Kusuma Pradani

Electrical Engineering Departement, State Polytechnic of Malang. Jl. Soekarno-Hatta No. 9, Malang 65141, Indonesia


Abstract

Greenhouse is currently used to urban farming. Smart greenhouse technology allows farmers to monitor their plants easyly. This systems require much electricity energy supply. In order to save energy, additional electricity supply is needed. For this reason, photovoltaic is installed on the roof of the greenhouse. The obstacle in the installation of photovoltaic cells is that the power produced is not optimal, due to the movement of the suns position. For this reason, Maximum Power Point Tracking (MPPT) technology is used. In this paper, fuzzy logic was used for Maximum Power Point Tracking (MPPT) based on I and V from PV. The aim is to find the maximum operating point of a photovoltaic module so that it can increase the output power ratio of photovoltaic modules in varying temperatures and radiation levels. Simulation is done using MATLAB, so that a ratio of output power ratios is generated using MPPT and without using MPPT. By using the fuzzy MPPT controller, it produces optimum power, 142.5 W, when Vpv=30.05 V and Ipv=4.743A. This power will be used to supply electricity for 2 15 W lamps, 12 volts for the mini greenhouse

Keywords: mini Greenhouse, photovoltaic, MPPT, cuk converter, fuzzy

Topic: Electrical Engineering

Link: https://ifory.id/abstract/WrueAdCB7mav

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Heri Setiawan)

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