Study on theconvergence rate of different iterative algorithms in solving PV model parameters

Authors

Nan SHI, The Engineering Training and Basic Experimental Center, Heilongjiang University of Science and Technology, Harbin 150022 ,China
Xianhui ZHU, School of Electrical and Control Engineering, Heilongjiang University of Science and Technology, Harbin 150022 , China
Yidan LI, School of Electrical and Control Engineering, Heilongjiang University of Science and Technology, Harbin 150022 , China
ying YANG, School of Electrical and Control Engineering, Heilongjiang University of Science and Technology, Harbin 150022 , China
Pengtao YUAN, The Engineering Training and Basic Experimental Center, Heilongjiang University of Science and Technology, Harbin 150022 ,China

Keywords

photovoltaic models, iterative algorithm, NewtonRaphson, GaussSeidel, convergence speed, initial value sensitivity

Abstract

The iterative algorithm is widely used in determining the parameters of photovoltaic models. In order to study the convergence speed of using the different iterative to solve the PV parameters, on the basis of brief introduction on the characteristics of NewtonRaphson and GaussSeidel iterative algorithms, combining with nonlinear transcendental equation for the output characteristics of photovoltaic models, the equations of the output parameters for the photovoltaic models are deduced in detail with NewtonRaphson and GaussSeidel iterative method. We use the equations to derive the PV parameters of three different photovoltaic modules and analyze and test these results. The results show that NewtonRaphson iterative method is insensitive to the selection of initial values and has faster convergence rate under the same precision. Such method is more suitable for the calculation of photovoltaic model parameters.

DOI

10.19781/j.issn.16739140.2020.03.007

First Page

55

Last Page

60

Recommended Citation

SHI, Nan; ZHU, Xianhui; LI, Yidan; YANG, ying; and YUAN, Pengtao (2020) "Study on theconvergence rate of different iterative algorithms in solving PV model parameters," Journal of Electric Power Science and Technology: Vol. 35: Iss. 3, Article 7.
DOI: 10.19781/j.issn.16739140.2020.03.007
Available at: https://jepst.researchcommons.org/journal/vol35/iss3/7