Solar Charge Controller with Maximum Power Point Tracking for Low-Power Solar Applications

被引:10
作者
Abuzairi, Tomy [1 ]
Ramadhan, Wing Wira Adimas [1 ]
Devara, Kresna [1 ]
机构
[1] Univ Indonesia, Dept Elect Engn, Fac Engn, Depok 16424, West Java, Indonesia
关键词
Controllers - Maximum power point trackers - Power control - Solar power generation;
D O I
10.1155/2019/5026464
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Solar Charge Controller (SCC) with Maximum Power Point Tracking (MPPT) is needed to extract maximum energy from photovoltaic. However, a SCC device with MPPT technology feature is expensive on the market due to the requirements for a high-power system. On the other hand, in lower power applications such as IoT sensors, solar street lights, and wireless communication nodes, these types of controllers can be produced at a lower cost. In this study, the design of a low-cost SCC was conducted using the MPPT technology for low-power solar applications. The SCC is designed based on the Arduino microcontroller, which has the role of controlling the circuit and producing PWM signals to regulate the DC-DC converter. Several tests were conducted to validate the efficiency of the MPPT algorithm. The SCC device succeeded in increasing efficiency up to 52% on the low irradiance level.
引用
收藏
页数:11
相关论文
共 28 条
[1]  
Aerosemi, 2015, MT3608 HIGH EFFICIEN
[2]  
[Anonymous], 2011, SLVA477B
[3]  
[Anonymous], 2019, Arduino Arduino Nano 33 Ble Sense
[4]   Efficient energy management for a grid-tied residential microgrid [J].
Anvari-Moghaddam, Amjad ;
Guerrero, Josep M. ;
Vasquez, Juan C. ;
Monsef, Hassan ;
Rahimi-Kian, Ashkan .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (11) :2752-2761
[5]  
Arduino, 2019, ARDUINO WHAT IS ARDU
[6]  
Arduino, 2019, SECR ARD PWM
[7]  
ATALLAH A M., 2014, Emerging Trends in Electrical, Electronics Instrumentation Engineering: An international Journal, V1, P31
[8]  
Bidoggia B., 2014, NOTES DESIGN ANAL DC
[9]  
Boylestad R.L., 2018, Electronic Devices and Circuit Theory
[10]   Maximum Power Point Tracking for Photovoltaic Optimization Using Ripple-Based Extremum Seeking Control [J].
Brunton, Steven L. ;
Rowley, Clarence W. ;
Kulkarni, Sanjeev R. ;
Clarkson, Charles .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2010, 25 (10) :2531-2540