scholarly journals A DC-DC Step-Up μ-Power Converter for Energy Harvesting Applications, Using Maximum Power Point Tracking, Based on Fractional Open Circuit Voltage

2011 ◽  
pp. 510-517
Author(s):  
Carlos Carvalho ◽  
Guilherme Lavareda ◽  
Nuno Paulino
Keyword(s):  
Energy Harvesting ◽  
Open Circuit Voltage ◽  
Maximum Power Point Tracking ◽  
Power Converter ◽  
Open Circuit ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

A Low-Power Photovoltaic Maximum Power Point Tracking Circuit for WSNs

2013 ◽  
Vol 562-565 ◽  
pp. 1045-1051
Author(s):  
Gao Fei Zhang ◽  
Rui Ma ◽  
Zheng You ◽  
Zi Chen Zhang
Keyword(s):  
Energy Harvesting ◽  
Low Cost ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Energy Limitation ◽  
Power Point

Currently, most wireless sensor networks (WSNs) are powered by batteries. When energy stored in batteries is exhausted, the life of the WSNs goes to the end. The concept of energy harvesting provides a practical solution to the problem of the energy limitation. In this article, the feasibility and performance of a simple and low-cost analog solar energy harvesting circuit with the function of maximum power point tracking (MPPT) are investigated. The technique provided is based on the approximately linear relationship between the maximum power point (MPP) voltage and the open-circuit voltage of a solar panel under different irradiation levels. Several experiments have been carried out regarding the accuracy and efficiency of MPPT as well as the working process of the circuit. Results show that the maximum power point with different loads can be effectively tracked by the self-powered MPPT circuit, and in the meantime, a stable output voltage can be generated. The efficiency of energy conversion is guaranteed by a commercial off-the-shelf DC-DC chip. The detailed description of the circuit design and the comprehensive analysis of the circuit performance will provide a useful guide for the future applications.

scholarly journals A Fast and Accurate Maximum Power Point Tracking Approach Based on Neural Network Assisted Fractional Open-Circuit Voltage

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2206
Author(s):  
Ahmad Alzahrani
Keyword(s):  
Neural Network ◽  
Open Circuit Voltage ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper presents an enhanced maximum power point tracking approach to extract power from photovoltaic panels. The proposed method uses an artificial neural network technique to improve the fractional open-circuit voltage method by learning the correlation between the open-circuit voltage, temperature, and irradiance. The proposed method considers temperature variation and can eliminate the steady-state oscillation that comes with conventional algorithms, which improves the overall efficiency of the photovoltaic system. A comparison with the traditional and most widely used algorithms is discussed and shows the difference in performance. The presented algorithm is implemented with a Ćuk converter and tested under various weather and irradiance conditions. The results validate the competitiveness of the algorithm against other algorithms.

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