DocumentCode
3196449
Title
A double-linear approximation algorithm to achieve maximum-power-point tracking for PV arrays
Author
Shen, Chih-Lung ; Wu, Yu-En ; Liu, Fang-Shiang
Author_Institution
Dept. of Electron. Eng., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
fYear
2009
fDate
2-5 Nov. 2009
Firstpage
758
Lastpage
763
Abstract
In this paper, a double-linear approximation algorithm (DLAA) to achieve maximum-power-point tracking (MPPT) for PV arrays is proposed. The DLAA is based on that the trajectories of maximum power point varying with irradiation and temperature are approximately linear. With the DLAA, a maximum power point can be determined instantaneously. Moreover, complicated calculation and perturbation about an optimal point can be avoided. In the paper a corresponding circuit to complete DLAA is proposed as well, of which configuration is simple. As a result, the proposed circuit is cost-effective and can be embedded into PV arrays easily. An implementation example of PV power system with the proposed MPPT is designed and the DLAA is compared with the perturb-and-observe method. From simulated and experimental results, the proposed MPPT algorithm has been verified and the feasibility of the proposed circuit is also demonstrated.
Keywords
approximation theory; maximum power point trackers; photovoltaic power systems; double linear approximation algorithm; maximum power point tracking; perturb-and-observe method; photovoltaic arrays; photovoltaic power system; Approximation algorithms; Circuit simulation; Environmentally friendly manufacturing techniques; Feedback; Fossil fuels; Linear approximation; Power engineering and energy; Power system simulation; Temperature; Voltage; Maximum power point tracking; PV arrays; double-linear approximation algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4244-4166-2
Electronic_ISBN
978-1-4244-4167-9
Type
conf
DOI
10.1109/PEDS.2009.5385863
Filename
5385863
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