The new combined Maximum Power Point Tracking algorithm using fractional estimation in photovoltaic systems

Author

Quoc, Dzung Phan ; Nhat, Quang Nguyen ; Le Minh Phuong ; Le Dinh Khoa ; Nguyen Truong Dan Vu ; Bao, Anh Nguyen ; Lee, Hong Hee

Author_Institution

Fac. of Electr. & Electron. Eng., HCMC Univ. of Technol., Ho Chi Minh City, Vietnam

fYear

2011

fDate

5-8 Dec. 2011

Firstpage

919

Lastpage

923

Abstract

This paper presents an improved algorithm of quick and accurate Maximum Power Point Tracking (MPPT) algorithm which is based on Incremental conductance algorithm, Fractional Open Circuit Voltage and Short Circuit Current. The proposed algorithm estimates the short circuit current or open circuit voltage, following by using Fractional Short Circuit Current or Fractional Open Circuit Voltage algorithm to quickly determine point close to MPP. MPP will be accurately determined due to Incremental conductance algorithm. The proposed algorithm can identify quickly and correctly MPP when the environmental temperature and solar radiation change. The results of proposed algorithm are made by simulating with MATLAB/Simulink program and experimenting with kit DSpace DS 1104.

Keywords

maximum power point trackers; photovoltaic power systems; short-circuit currents; DSpace DS 1104; MATLAB/Simulink program; environmental temperature; fractional estimation; fractional open circuit voltage algorithm; fractional short circuit current algorithm; incremental conductance algorithm; maximum power point tracking algorithm; photovoltaic systems; solar radiation; Arrays; Artificial neural networks; Educational institutions; Photovoltaic systems; Radiation effects; Short circuit currents; DSpace DS1104; Fractional Open Circuit Voltage; Fractional Short Circuit Current; Incremental Conductance (Inc-cond); Matlab/Simulink; Maximum power point tracking (MPPT);

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems (PEDS), 2011 IEEE Ninth International Conference on

Conference_Location

Singapore

ISSN

2164-5256

Print_ISBN

978-1-61284-999-7

Electronic_ISBN

2164-5256

Type

conf

DOI

10.1109/PEDS.2011.6147363

Filename

6147363