NDLI: Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC

Content Provider	Springer Nature Link
Author	Chao, Paul C. P. Chen, Wei Dar Chang, Chih Kuo
Copyright Year	2012
Abstract	This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output.
Starting Page	1267
Ending Page	1281
Page Count	15
File Format	PDF
ISSN	09467076
Journal	Microsystem Technologies
Volume Number	18
Issue Number	9-10
e-ISSN	14321858
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-05-09
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mechanical Engineering Electronics and Microelectronics, Instrumentation Nanotechnology
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Condensed Matter Physics Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering Hardware and Architecture

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