scholarly journals Sistem MPPT Pengisian Baterai dengan Solar Cell untuk Mobil Listrik

2020 ◽  
Vol 1 (2) ◽  
pp. 224-228
Author(s):  
Chris Septiyan ◽  
Taali Taali

Solar panel merupakan sumber energi terbaru yang efisien dan ramah lingkungan. Prinsip kerja solar cell yaitu melewati efek fotolistrik dimana bahan-bahan tertentu menciptakan aliran listrik pada cahaya matahari dan menghasilkan arus searah (DC). Sistem pengisian baterai solar cell dengan memanfaatkan cahaya matahari, Watt Peak (WP) adalah satuan yang menyatakan daya produksi tertinggi yang dapat dihasilkan oleh panel surya per satuan waktu. Satuan ukuran panel surya ini didapat dari jumlah produksi daya yang didapat ketika matahari bersinar dengan tingkat radiasi tertinggi. Penyinaran matahari tidak selalu stabil dalam satu hari, matahari mengalami puncak hanya 3 – 5 jam/hari tergantung lokasi. Waktu ideal panel surya menghasilkan daya terbaik (Pmax), yang ditunjukan dalam Wp. Sedangkan untuk menghasilkan daya yang maksimum dibutuhkan pengontrolan tracker panel surya diantara nya maximum power point tracker (MPPT). Dengan menggunakan pengontrolan tracker panel surya yaitu maximum power point tracker (MPPT) maka daya keluaran panel surya akan semakin maksimum.

2013 ◽  
Vol 300-301 ◽  
pp. 572-575
Author(s):  
Sheng Chen ◽  
Chih Chen Chen

In this paper, the implement of the solar cell for sun tracking is achieved. The sun energy is abundant with clean and green energy, but the efficiency is not benefit from the source of solar panel to the power conversion output for the practical application. This paper contains the implement starting from driving solar cell with the XY-axis servo motor to trace the optimal input solar light, then the maximum power point tracking circuit (MPPT) in the Boost conversion is included to increase the efficiency for lithium battery charging. The super capacitor banks are paralleled with the lithium battery to improve the inrush power load, which is benefit for prolong the lithium battery and solar panel life; The applications of output are included two parts; one is the small green man of traffic light and the other one is AC 110V urban electric conversion; the control core for this system is PSOC chip for its simple, practical and high efficiency demand.


2020 ◽  
Vol 2 (2) ◽  
pp. 134-139
Author(s):  
Ana Nuril Achadiyah ◽  
Mokhamad Suseno Aji Sari

Energi matahari merupakan energi terbarukan yang dapat dimanfaatkan untuk menghasilkan energi listrik. Sedangkan yang dapat mengkonversi energi cahaya matahari menjadi energi listrik adalah photovoltaic cell. Akan tetapi dalam proses pengkonversian energi cahaya ini ada kendala yang dipengaruhi beberapa faktor sehingga mengurangi optimalisasi sistem kerja photovoltaic cell. Salah satu faktor utama yang mempengaruhi optimalisasi sistem photovoltaic adalah radiasi sinar matahari yang berubah–ubah sehingga tidak maksimalnya sinar cahaya yang didapat. Dengan melihat permasalahan tersebut maka diperlukan alat penjejak matahari agar solar cell selalu tegak lurus menghadap matahari. Sistem ini menggunakan sensor cahaya (LDR) dan keluaran berupa arus DC. Dengan aturan yang disesuaikan dengan kondisi, maka motor DC akan menggerakkan solar cell supaya bergerak mengikuti posisi matahari secara otmatis. Paper ini menyajikan analisa dan desain untuk penjejak Maximum Power Point Tracker (MPPT) dengan menggunakan Metode Fuzzy Logic (MFL). Dalam penghitungan pengendali penjejak orientasi matahari ini digunakan sistem Metode Fuzzy Logic (MFL) karena metode ini merupakan kontrol pada proses tahapan himpunan, proses fuzzyfikasi, aturan fuzzy, dan proses defuzzyfikasi dan karena metode ini sangat cocok untuk pengembangan produk selanjutnya. Penelitian ini menggunakan ATMega8 yang mudah dipasang pada penggunaan solar cell mandiri maupun yang berskala besar.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 483
Author(s):  
Novie Ayub Windarko ◽  
Muhammad Nizar Habibi ◽  
Bambang Sumantri ◽  
Eka Prasetyono ◽  
Moh. Zaenal Efendi ◽  
...  

During its operation, a photovoltaic system may encounter many practical issues such as receiving uniform or non-uniform irradiance caused mainly by partial shading. Under uniform irradiance a photovoltaic panel has a single maximum power point. Conversely under non-uniform irradiance, a photovoltaic panel has several local maximum power points and a single global maximum power point. To maximize energy production, a maximum power point tracker algorithm is commonly implemented to achieve the maximum power operating point of the photovoltaic panel. However, the performance of the algorithm will depend on operating conditions such as variation in irradiance. Presently, most of existing maximum power point tracker algorithms work only in a single condition: either uniform or non-uniform irradiance. This paper proposes a new maximum power point tracker algorithm for photovoltaic power generation that is designed to work under uniform and partial shading irradiance conditions. Additionally, the proposed maximum power point tracker algorithm aims to provide: (1) a simple math algorithm to reduce computational load, (2) fast tracking by evaluating progress for every single executed duty cycle, (3) without random steps to prevent jumping duty cycle, and (4) smooth variable steps to increase accuracy. The performances of the proposed algorithm are evaluated by three conditions of uniform and partial shading irradiance where a targeted maximum power point is located: (1) far from, (2) near, and (3) laid between initial positions of particles. The simulation shows that the proposed algorithm successfully tracks the maximum power point by resulting in similar power values in those three conditions. The proposed algorithm could handle the partial shading condition by avoiding the local maxima power point and finding the global maxima power point. Comparisons of the proposed algorithm and other well-known algorithms such as differential evolution, firefly, particle swarm optimization, and grey wolf optimization are provided to show the superiority of the proposed algorithm. The results show the proposed algorithm has better performance by providing faster tracking, faster settling time, higher accuracy, minimum oscillation and jumping duty cycle, and higher energy harvesting.


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