A Method to Harness Maximum Power from Photovoltaic Power Generation Basing on Completely Mathematical Model

International Journal of Research and Engineering

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Field Value
 
Title A Method to Harness Maximum Power from Photovoltaic Power Generation Basing on Completely Mathematical Model
 
Creator Le, Tien Phong
Nguyen, Minh Cuong
Thai, Quang Vinh
Ngo, Duc Minh
 
Description This paper introduces a new method that no previous study has been done in this photovoltaic power generation similar to this paper to harness maximum potential power from photovoltaic power generation. The completely mathematical model added the relation between diode factor of the generation and p-n junction temperature is proposed to use in this method. The maximum power point tracker combines the iterative and bisectional technique, the completely mathematical model of PVgPVG and the system of equations that converts value of parameters from standard test condition to any working condition, measuring sensors to measure power of solar irradiance and p-n junction temperature to determine parameters at maximum power point at any working condition. The voltage controller is designed to drive this generation to expect working state to harness maximum power. An experimental model corresponding to this method was designed and operated in real conditions in Viet Nam. Experimental results show the high accuracy of analyzing in theory and high capability to bring this method out real applications to harness all available energy of this generation.
 
Publisher IJRE Publisher
 
Date 2018-09-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://digital.ijre.org/index.php/int_j_res_eng/article/view/355
10.21276/ijre.2018.5.8.4
 
Source International Journal of Research and Engineering; Vol 5 No 8 (2018): August 2018 Edition; 486-493
2348-7860
2348-7852
 
Language eng
 
Relation https://digital.ijre.org/index.php/int_j_res_eng/article/view/355/322
 
Rights Copyright (c) 2018 Tien Phong Le, Minh Cuong Nguyen, Quang Vinh Thai, Duc Minh Ngo
http://creativecommons.org/licenses/by/4.0
 

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