Novel Linear Iteration Maximum Power Point Tracking Algorithm for Photovoltaic Power Generation

2014 ◽  
Vol 24 (5) ◽  
pp. 1-6 ◽  
Author(s):  
Wei Xu ◽  
Chaoxu Mu ◽  
Jianxun Jin
2018 ◽  
Vol 14 (07) ◽  
pp. 45 ◽  
Author(s):  
Lieping Zhang ◽  
Yanlin Yu ◽  
Hang Ma ◽  
Yu Zhang ◽  
Peng Cao

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.


2014 ◽  
Vol 953-954 ◽  
pp. 52-56
Author(s):  
Wei Du ◽  
Wei Han ◽  
You Fei Tan

In order to increase the output power of the photovoltaic system, the maximum power point tracking is needed. As the starting point of research in the output nonlinear characteristics, analysis of the advantages and disadvantages of the conventional algorithm and have the poor dynamic and steady-state performance of the maximum power point tracking(MPPT), the improvement method of golden section(IGSS) is applied to the photovoltaic power generation system. The results indicate that the method can quickly track the maximum power point of photovoltaic cells.


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