Microcontroller Based Maximum Power Point Tracking For Photovoltaic Solar Panel

In applications with low-energy conversion efficiency, maximizing the output power improves the efficiency. The maximum output power of a solar panel depends on the environmental conditions and load profile. In this paper, a method based on simultaneous use of two fuzzy controllers is developed in order to maximize the generated output power of a solar panel in a photovoltaic system: fuzzy-based sun tracking and maximum power point tracking. The sun tracking is performed by changing the solar panel orientation in horizontal and vertical directions by two DC motors properly designed. A DC-DC converter is employed to track the solar panel maximum power point. In addition, the proposed system has the capability of the extraction of solar panelI-Vcurves. Experimental results present that the proposed fuzzy techniques result in increasing of power delivery from the solar panel, causing a reduction in size, weight, and cost of solar panels in photovoltaic systems.

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RANCANG BANGUN SOLAR ELECTRIC SPRAYER HEMAT ENERGI MENGGUNAKAN METODE FUZZY EXPERT SYSTEM

Teknika: Engineering and Sains Journal ◽

10.51804/tesj.v3i2.602.83-88 ◽

2019 ◽

Vol 3 (2) ◽

pp. 83

Author(s):

Totok Dewantoro ◽

Gezaq Abror ◽

Gilang Eka Vigo Astafir Akbar

Keyword(s):

Expert System ◽

Maximum Power Point Tracking ◽

Solar Panel ◽

Maximum Power ◽

Fuzzy Expert System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point

Pada penelitian ini akan dirancang sebuah solar electric sprayer (SES) yang hemat energi. Rancangan ini terdiri dari solar panel (PV), rangkaian maximum power point tracking (MPPT), dan sebuah konverter. Untuk memaksimalkan power dari solar panel, rancangan ini dilengkapi dengan MPPT yang mampubekerja pada kondisi terbayang-bayang sebagian (partial shaded) apabila tempat yang digunakan tidak memungkinkan untuk memperoleh radiasi matahari yang sempurna. Algoritma yang digunakan pada pembuatan MPPT ini menggunakan fuzzy expert system (FES). Dari hasil pengujian didapatkan daya optimal PV hanya sekitar 75% dengan effisiensi konverter 80% hingga 89% tanpa terjadi saturasi, namun terdapat penurunan effisiensi sekitar 42% apabila dutycycle dibawah 40%. Dengan demikian prototype mesin semprot listrik bertenaga surya sebagai pengganti mesin semprot manual yang sudah tersedia dapat diterapkan.

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Artificial Neural Network Implementation for Maximum Power Point Tracking of Optimized Solar Panel

International Journal of Computer Applications ◽

10.5120/13522-1176 ◽

2013 ◽

Vol 78 (10) ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Lalam S.Sindhura ◽

Kalpana Chaudary

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Maximum Power Point Tracking ◽

Solar Panel ◽

Maximum Power ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Artificial Neural ◽

Power Point

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Solar Power-Based Thermo Electric Cooler (TEC) System

Journal of Technomaterials Physics ◽

10.32734/jotp.v3i2.5624 ◽

2021 ◽

Vol 3 (2) ◽

pp. 133-140

Author(s):

Marhaposan Situmorang ◽

Monika Panjaitan

Keyword(s):

Solar Energy ◽

Maximum Power Point Tracking ◽

Solar Panel ◽

Maximum Power ◽

Solar Panels ◽

Maximum Power Point ◽

Thermo Electric ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point

Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.

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