Maximum Power Point Tracking Solar Charge Controller Based on Internet of Things with Smartphone Display

Muhammad Ushalli - Departement of physics, Universitas Negeri Padang, Jl Prof. Dr. Hamka Air Tawar Padang 25131
- Yulkifli - Departement of physics, Universitas Negeri Padang, Jl Prof. Dr. Hamka Air Tawar Padang 25131
- Mairizwan - Departement of physics, Universitas Negeri Padang, Jl Prof. Dr. Hamka Air Tawar Padang 25131
Rio Anshari - Departement of physics, Universitas Negeri Padang, Jl Prof. Dr. Hamka Air Tawar Padang 25131

Abstract


Electrical energy is a very important thing in life, but the main source at this time is still using limited materials. The solution to this problem requires renewable energy as an alternative source. This research discusses solutions with the use of solar cells. Harvesting of solar cell power is carried out using a Maximum Power Point Tracking (MPPT) based on Internet of Things (IoT). This research is classified as development research. The purpose of this research is the performance specification and design specifications. The data obtained in this study are comparisons of MPPT data and not using MPPT, and also accuracy and precision data of the instrument. Data collection was carried out on August 7, 2022 at 10.00 WIB - 16.00 WIB. In the study, it was found that the power harvested using the MPPT system was much better than without using the MPPT system. The system performance specifications are built with various electronic components and microcontrollers, all components are included in a box measuring 20cm x 15cm x 9cm. design specifications obtained an good data with MPPT based on IoT. The value of accuracy instrument is obtained 93,87% and the precision value of the instrument is obtained 94,944%. And also obtained good data transfer capabilities from the instrument, so that data transfer can be done continuously. with the method used, the research went well and in line with expectations

Full Text:

PDF

References


Muhammad Ihsan Fadriantam, “Analisis Perbandingan Kinerja Algoritme Perturb And Observe (P&O) Dan Incremental Conductance (IC) Pada Sistem Kendali Maximum Power Point Tracker (MPPT) Untuk Sistem Photovoltaic (PV) Paralel,” J. Chem. Inf. Model., 2013, doi: 10.1017/CBO9781107415324.004.

Mairizwan, R. Anshari, and W. Satria Dewi, “Optimization of harvesting solar cell energy based on MPPT to be applied during the rainy season in the tropics,” 2020, doi: 10.1088/1742-6596/1481/1/012007.

A. Makki, S. Omer, and H. Sabir, “Advancements in hybrid photovoltaic systems for enhanced solar cells performance,” Renewable and Sustainable Energy Reviews. 2015, doi: 10.1016/j.rser.2014.08.069.

A. Ashiquzzaman, “Energy-Efficient Sensor Calibration Based on Deep Reinforcement Learning,” Int. J. Artif. Intell. Appl. Smart Devices, 2019, doi: 10.21742/ijaiasd.2019.7.1.02.

I. Winarno and L. Natasari, “Maximum Power Point Tracker (MPPT) Berdasarkan Metode Perturb and Observe Dengan Sistem Tracking Panel Surya Single Axis,” umj, 2017.

A. Faizal and B. Setyaji, “Desain Maximum Power Point Tracking (MPPT) pada Panel Surya Menggunakan Metode Sliding Mode Control,” J. Sains, Teknol. dan Ind., 2016.

F. Xia, L. T. Yang, L. Wang, and A. Vinel, “Internet of things,” International Journal of Communication Systems. 2012, doi: 10.1002/dac.2417.

L. Tan and N. Wang, “Future Internet: The Internet of Things,” 2010, doi: 10.1109/ICACTE.2010.5579543.

A. Junaidi, “INTERNET OF THINGS, SEJARAH, TEKNOLOGI DAN PENERAPANNYA : REVIEW Apri,” J. Ilm. Teknol. Inf., 2015.

M. Fajar Wicaksono, “IMPLEMENTASI MODUL WIFI NODEMCU ESP8266 UNTUK SMART HOME,” 2017.

A. I. Abdul-Rahman and C. A. Graves, “Internet of things application using tethered MSP430 to thingspeak cloud,” 2016, doi: 10.1109/SOSE.2016.42.

G. Hamdi and Krisnawati, “Membangun Aplikasi Berbasis Android ‘Pembelajaran Psikotes’ Menggunakan App Inventor,” J. DASI Vol. 12 No. 4 DESEMBER 2011, 2011.

Arafat. S.Kom. M.Kom, “Sistem Pengaman Pintu Rumah berbasis Internet of Things ( IoT ) Dengan ESP8266,” J. Ilm. Fak. Tek. “Technologia,” 2016.

M. Iqbal, Yulkifli, and Y. Darvina, “RANCANG BANGUN SISTEM PENGUKURAN SUHU DAN KELEMBABAN UDARA MENGGUNAKAN SENSOR SHT75 BERBASIS INTERNET OF THINGS DENGAN DISPLAY SMARTPHONE,” Berk. Fis., vol. 22, no. 3, 2019.

I. T. Handini, Yulkifi, and Y. Darvina, “Rancang Bangun Sistem Pengukuran Tekanan Udara Menggunakan DT-Sense Barometric Pressure Berbasis Internet of Things dengan Tampilan pada Smartphone,” J. Teor. dan Apl. Fis., vol. 08, no. 01, 2020.

Sugiyono, “Metode Penelitian Kuantitatif, Kualitatif dan R & D.Bandung:Alfabeta.,” Metod. Penelit. Kuantitatif, Kualitatif dan R D.BandungAlfabeta., 2012, doi: 10.1017/CBO9781107415324.004.




DOI: http://dx.doi.org/10.24036/13584171074