Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (12): 25-32.doi: 10.3969/j.issn.1000-565X.2015.12.004

• Power & Electrical Engineering • Previous Articles     Next Articles

Maximum Power Point Tracking Based on Adaptive Variable Step-Size Incremental-Resistance Method

Chen Yuan-rui1,2 Zhou Dong-bao1 Xu Zhi-rong2 Li Chen-di1 Zeng Jun1,2   

  1. 1.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.Guangdong Key Laboratory of Clean Energy Technology,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2015-03-17 Revised:2015-05-04 Online:2015-12-25 Published:2015-11-01
  • Contact: 陈渊睿(1969-),男,副教授,主要从事电力电子系统的先进控制技术、新能源发电并网与控制技术等研究. E-mail:yrchen@scut.edu.cn
  • About author:陈渊睿(1969-),男,副教授,主要从事电力电子系统的先进控制技术、新能源发电并网与控制技术等研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China(51177050) and the National Natural Science Foundation for Young Scholars of China(60904078)

Abstract: In order to ensure that the photovoltaic system under a drastically-changing light can still output its maxi- mum power,an adaptive variable step-size incremental-resistance maximum power point (MPP) tracking (MPPT) algorithm is proposed.In the algorithm,a threshold function is adopted to automatically divide the operation area of the photovoltaic system into the fixed step-size region and the variable step-size region according to the changes of external environments.In the fixed step-size region,a method of tuning initial fixed step sizes is proposed based on the approximate linear relationship between the short-circuit current and the maximum power point current.In the variable step-size region,by drawing on the relationship between the step conversion function and the output power,a scaling factor of the variable step-size strategy is determined to ensure the convergence of the proposed al- gorithm.Finally,a Matlab/Simulink model of the photovoltaic system and a 5kW photovoltaic system controlled by DSP (TMS320F28035) are established to conduct a series of experiments.Simulation and experimental results in- dicate that the proposed algorithm can improve the dynamic response speed of the photovoltaic system under a dras- tically-changing light by 73%,and can achieve a steady-state tracking accuracy of 98. 9%.

Key words: photovoltaic generators, maximum power point tracking, adaptive variable step size, incremental re- sistance, incremental conductance