DocumentCode :
701743
Title :
Parameter estimation of double diode photo-voltaic module
Author :
Saha, Paramjit ; Kumar, Saurabh ; Nayak, Sisir Kr ; Sahu, Himanshu Sekhar
Author_Institution :
Electr. Eng., NERIST, Itanagar, India
fYear :
2015
fDate :
10-11 Jan. 2015
Firstpage :
1
Lastpage :
4
Abstract :
Solar Energy is a clean and boundless energy source and the worldwide solar market demand is increasing for industrial and domestic purposes. The purpose of this paper is to show the comparison of Stochastic Method(Genetic Algorithm) over derivative methods. A mathematical development [3] is provided for the extraction of Solar Panel equivalent circuit parameters from datasheet values. The analytical approach is selected for the mathematical development as the initial-point vital for proper evaluation of the Parameters of the double diode Model of PV cells. And thus using Evolutionary technique to extract the values of the parameters, a valid comparison has been presented between the numerical approaches and the Evolutionary Algorithms.
Keywords :
genetic algorithms; parameter estimation; photovoltaic power systems; stochastic processes; PV cells; double diode model; double diode photo-voltaic module; evolutionary technique; genetic algorithm; parameter estimation; solar energy; stochastic method; worldwide solar market demand; Genetic algorithms; Integrated circuit modeling; Mathematical model; Photovoltaic cells; Semiconductor diodes; Sociology; Solar energy; Double Diode; Genetic Algorithm; Newton Raphson; Parameter Extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Dielectric and Energy Management at NERIST (ICPDEN), 2015 1st Conference on
Conference_Location :
Itanagar
Print_ISBN :
978-1-4799-6458-1
Type :
conf
DOI :
10.1109/ICPDEN.2015.7084502
Filename :
7084502
Link To Document :
بازگشت