Solar cell single measurement maximum power point tracking

Author(s):  
Raul Rabinovici ◽  
Yotam B. Frechter
Author(s):  
Priyank Srivastava ◽  
Pankaj Gupta ◽  
Amarjeet Singh

A photovoltaic cell produces electrical energy directly from visible light. However, their efficiency is fairly low. So, the solar cell costs expensive as compared to other energy resources products. Various factors affect solar cell efficiency. This paper presents the most important factors that affecting efficiency of solar cells. These effects are cell temperature, MPPT (maximum power point tracking) and energy conversion efficiency. The changing of these factors improves solar cell efficiency for more reliable applications. There is a large energy demand due to industrial development and population growth especially in India. The main challenge in replacing conventional energy sources with newer and more environmentally friendly alternatives, such as solar and wind energy, is how to capture the maximum energy and deliver the maximum power at a minimum cost for a given load. The output power of photovoltaic cells or solar panels has nonlinear characteristics and these are also affected by temperature, light intensity and load.


2018 ◽  
Vol 9 (2) ◽  
pp. 88-91
Author(s):  
Wolfgang Jalma

Maximum Power Point Tracking is a method to obtain maximum harvest of PV solar cell. Due to PV nonlinearity, a lot of novel approach has been. One of the most prominence is neural network, that usually can solve this nonlinearity formulation, although needs relatively longer time in order to train, making it unfeasible for real implementation. This research tried to accelerate the training of the neural network based MPPT, using Extreme Learning Machine, with quite promising results. Index Terms—Maximum Power Point Tracking, Neural Network, PV Solar Cell, Extreme Learning machine.


2013 ◽  
Vol 300-301 ◽  
pp. 572-575
Author(s):  
Sheng Chen ◽  
Chih Chen Chen

In this paper, the implement of the solar cell for sun tracking is achieved. The sun energy is abundant with clean and green energy, but the efficiency is not benefit from the source of solar panel to the power conversion output for the practical application. This paper contains the implement starting from driving solar cell with the XY-axis servo motor to trace the optimal input solar light, then the maximum power point tracking circuit (MPPT) in the Boost conversion is included to increase the efficiency for lithium battery charging. The super capacitor banks are paralleled with the lithium battery to improve the inrush power load, which is benefit for prolong the lithium battery and solar panel life; The applications of output are included two parts; one is the small green man of traffic light and the other one is AC 110V urban electric conversion; the control core for this system is PSOC chip for its simple, practical and high efficiency demand.


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