Design of Photovoltaic Power Supply MPPT Circuit for WSN Node Based on Current Observation

Authors

  • Lieping Zhang Guilin University of Technology
  • Yanlin Yu Guilin University of Technology
  • Hang Ma Guilin University of Technology
  • Yu Zhang Guilin University of Technology
  • Peng Cao Guangdong University of Technology

DOI:

https://doi.org/10.3991/ijoe.v14i07.8495

Keywords:

WSN Node, MPPT, Photovoltaic Power Supply, Current Observation

Abstract


In view of the problem of low energy collection efficiency and low efficiency of photovoltaic power supply modules in wireless sensor networks, a maximum power point tracking algorithm suitable for photovoltaic power supply of wireless sensor nodes is proposed. Firstly, the photovoltaic cell model is analyzed. Based on this, the traditional maximum power point tracking algorithm is analyzed. Combining with the advantages of disturbance observing method and load current maximization method, the problem of low working efficiency and low energy collection efficiency of functional modules is solved. Current observation method maximum power point tracking algorithm, and complete the relevant hardware circuit design. Experimental results show that the power consumption of MPPT circuit is low, and the efficiency caused by environmental factors is very small. The efficiency is kept above 90% and the overall system efficiency is about 87%, which provides a stable and reliable photovoltaic power supply for WSN nodes.

Author Biographies

Lieping Zhang, Guilin University of Technology

college of mechanical and control engineering

Hang Ma, Guilin University of Technology

college of mechanical and control engineering

Yu Zhang, Guilin University of Technology

college of mechanical and control engineering

Peng Cao, Guangdong University of Technology

school of automation

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Published

2018-07-27

How to Cite

Zhang, L., Yu, Y., Ma, H., Zhang, Y., & Cao, P. (2018). Design of Photovoltaic Power Supply MPPT Circuit for WSN Node Based on Current Observation. International Journal of Online and Biomedical Engineering (iJOE), 14(07), pp. 45–61. https://doi.org/10.3991/ijoe.v14i07.8495

Issue

Section

Papers