文件名称:serial-11
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It is well known that in a photovoltaic (PV) plant,
the modules are connected to switch-mode power converters to
enhance the power output in every environmental condition. This
task is performed by the maximum power point tracker (MPPT),
which provides a current or voltage reference to the converter.
Traditional perturb and observe or incremental conductance
algorithms are not efficient in rapidly changing conditions,
whereas a model-based (MB) MPPT offers a better dynamic
performance. Because it is relatively easy to obtain an accurate
model of a single PV panel, thus predicting the maximum power
point voltage for given environmental conditions, MB MPPTs
seemed to be attractive for employing in module integrated
converters
the modules are connected to switch-mode power converters to
enhance the power output in every environmental condition. This
task is performed by the maximum power point tracker (MPPT),
which provides a current or voltage reference to the converter.
Traditional perturb and observe or incremental conductance
algorithms are not efficient in rapidly changing conditions,
whereas a model-based (MB) MPPT offers a better dynamic
performance. Because it is relatively easy to obtain an accurate
model of a single PV panel, thus predicting the maximum power
point voltage for given environmental conditions, MB MPPTs
seemed to be attractive for employing in module integrated
converters
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serial 11.pdf