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The photovoltaic generators have a nonlinear V-I characteristics and maximum power points which vary with the illumination level and temperature. Using maximum power point tracker(MPPT) with the intermediate converter can increase the system efficiency by matching the PV systems to the load. This paper presents a maximum power point tracker based on fuzzy logic and a control scheme for a singlephase inverter connected to the utility grid. The fuzzy logic
controller(FLC) provides an adaptive nature for the system performance. Also the FLC provides excellent features such
as fast response, good performance and the ability to change the fuzzy parameters to improve control system. The singlephase dc/ac inverter is used to connect the PV system to the grid utility and local loads, of which control scheme is implemented to inject the PV output power to the utility grid at unity power factor and reduced harmonic level. The simulation results have shown the effectiveness of the proposed scheme.
controller(FLC) provides an adaptive nature for the system performance. Also the FLC provides excellent features such
as fast response, good performance and the ability to change the fuzzy parameters to improve control system. The singlephase dc/ac inverter is used to connect the PV system to the grid utility and local loads, of which control scheme is implemented to inject the PV output power to the utility grid at unity power factor and reduced harmonic level. The simulation results have shown the effectiveness of the proposed scheme.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. MATHEMATICAL MODEL
Ⅲ. SYSTEM DESCRIPTION
Ⅳ. FUZZY LOGIC CONTROL for MPPT
Ⅴ. HARMONIC CANCELLATION
Ⅵ. SIMULATION RESULTS
Ⅶ. CONCLUSIONS
ACKNOLEDGMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-560-014560598