DocumentCode
1614743
Title
Tracking system and MPPT control for efficiency improvement of photovoltaic
Author
Choi, Jung-Sik ; Kim, Do-Yeon ; Park, Ki-Tae ; Choi, Jung-Hoon ; Chung, Dong-Hwa
Author_Institution
Dept. of Electr. Control Eng., Sunchon Nat. Univ., Sunchon
fYear
2008
Firstpage
1341
Lastpage
1344
Abstract
This paper is proposed a novel method to approximate the maximum power for a photovoltaic inverter system and tracking method. It is designed for power systems application and utilities. The proposed Maximum Power Point Tracking(MPPT) control has the advantage to provide a new simple way to approximate the optimal or rated voltage, the optimal or rated current and maximum power rating produced by a solar panel and the photovoltaic inverter. And this straightforward method will be named linear reoriented coordinates method(LRCM) with the advantage that Pmax and can be approximated using the same variable as the dynamic model without using complicate approximations or Taylor series. Furthermore tracking method is improved over 50% photovoltaic efficiency. This paper is proposed MPPT using LRMC and tracking method using weather condition of domestic moderate program technique. This paper is proposed the experimental results to verify the effectiveness of the new methods.
Keywords
fuzzy control; fuzzy neural nets; fuzzy set theory; invertors; neurocontrollers; photovoltaic power systems; power generation control; tracking; domestic moderate program technique; fuzzy neural network. control; linear reoriented coordinate method; maximum power point tracking control; photovoltaic generation system; photovoltaic inverter system; power system; rated current approximation; rated voltage approximation; solar panel; weather condition; Automatic control; Control engineering; Control systems; Fuzzy control; Inverters; Photovoltaic systems; Research and development; Solar energy; Solar power generation; Voltage control; LRCM; MPPT; Photovoltaic; Tracking system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location
Seoul
Print_ISBN
978-89-950038-9-3
Electronic_ISBN
978-89-93215-01-4
Type
conf
DOI
10.1109/ICCAS.2008.4694386
Filename
4694386
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