Frontiers in Energy Research (Aug 2021)
A Novel Maximum Power Point Tracking Strategy Based on Enhanced Real-Time Adaptive Step-Size Modified Control for Photovoltaic Systems
- Junfeng Zhou,
- Junfeng Zhou,
- Junfeng Zhou,
- Junfeng Zhou,
- Junfeng Zhou,
- Yubo Zhang,
- Shuxiao Zhang,
- Shuxiao Zhang,
- Shuxiao Zhang,
- Shuxiao Zhang,
- Shuxiao Zhang,
- Yuanjun Guo,
- Yuanjun Guo,
- Yuanjun Guo,
- Yuanjun Guo,
- Yuanjun Guo,
- Zhile Yang,
- Zhile Yang,
- Zhile Yang,
- Zhile Yang,
- Zhile Yang,
- Wei Feng,
- Wei Feng,
- Wei Feng,
- Wei Feng,
- Wei Feng,
- Yanhui Zhang,
- Yanhui Zhang,
- Yanhui Zhang,
- Yanhui Zhang,
- Yanhui Zhang
Affiliations
- Junfeng Zhou
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
- Junfeng Zhou
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Junfeng Zhou
- Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Junfeng Zhou
- Ultrasonic Nondestructive Engineering Technology Research Center of Guangdong, Shenzhen, China
- Junfeng Zhou
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yubo Zhang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
- Shuxiao Zhang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Shuxiao Zhang
- Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shuxiao Zhang
- Ultrasonic Nondestructive Engineering Technology Research Center of Guangdong, Shenzhen, China
- Shuxiao Zhang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shuxiao Zhang
- University of Chinese Academy of Sciences, Beijing, China
- Yuanjun Guo
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Yuanjun Guo
- Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yuanjun Guo
- Ultrasonic Nondestructive Engineering Technology Research Center of Guangdong, Shenzhen, China
- Yuanjun Guo
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yuanjun Guo
- University of Chinese Academy of Sciences, Beijing, China
- Zhile Yang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Zhile Yang
- Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Zhile Yang
- Ultrasonic Nondestructive Engineering Technology Research Center of Guangdong, Shenzhen, China
- Zhile Yang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Zhile Yang
- University of Chinese Academy of Sciences, Beijing, China
- Wei Feng
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Wei Feng
- Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Wei Feng
- Ultrasonic Nondestructive Engineering Technology Research Center of Guangdong, Shenzhen, China
- Wei Feng
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Wei Feng
- University of Chinese Academy of Sciences, Beijing, China
- Yanhui Zhang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Yanhui Zhang
- Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yanhui Zhang
- Ultrasonic Nondestructive Engineering Technology Research Center of Guangdong, Shenzhen, China
- Yanhui Zhang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Yanhui Zhang
- University of Chinese Academy of Sciences, Beijing, China
- DOI
- https://doi.org/10.3389/fenrg.2021.685415
- Journal volume & issue
-
Vol. 9
Abstract
With the development of society, the demand for energy keeps increasing. Solar energy has received widespread concern for its renewable and environmentally friendly advantages. As one of the most efficient solar energy devices, the output power of photovoltaic (PV) cells is easily affected by the external environment. In order to solve the problem of the maximum power output of PV cells, this paper proposed a maximum power point tracking (MPPT) method. Based on the online particle swarm optimization (PSO) variable step length algorithm, the pulse width modulation (PWM) control module parameters are set according to the parameters of the PV cells’ output voltage. By dynamically adjusting the output voltage step of the PV cells online, the output of the PV cells is stabilized near the maximum power point (MPP). The simulation results concluded that the method and model could accurately adjust the output voltage according to the external environment changes in real time and reduce the voltage fluctuation at the MPP, providing a new idea to solve the problem of MPPT of PV cells.
Keywords
- photovoltaic cell
- particle swarm optimization
- maximum power point tracking
- variable step size
- variable carrier
