文件名称:TPS09
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Power electronics plays an important role in controlling
the grid-connected renewable energy sources. This paper
presents a novel adaptive neuro-fuzzy control approach for
the renewable interfacing inverter. The main objective is to
achieve smooth bidirectional power flow and nonlinear unbalanced
load compensation simultaneously, where the conventional
proportional-integral controller may fail due to the rapid change
in the dynamics of the highly nonlinear system. The combined
capability of neuro-fuzzy controller in handling the uncertainties
and learning from the processes is proved to be advantageous
while controlling the inverter under fluctuating operating conditions.
The inverter is actively controlled to compensate the harmonics,
reactive power, and the current imbalance of a three-phase
four-wire (3P4W) nonlinear load with generated renewable power
injection into the grid simultaneously.
the grid-connected renewable energy sources. This paper
presents a novel adaptive neuro-fuzzy control approach for
the renewable interfacing inverter. The main objective is to
achieve smooth bidirectional power flow and nonlinear unbalanced
load compensation simultaneously, where the conventional
proportional-integral controller may fail due to the rapid change
in the dynamics of the highly nonlinear system. The combined
capability of neuro-fuzzy controller in handling the uncertainties
and learning from the processes is proved to be advantageous
while controlling the inverter under fluctuating operating conditions.
The inverter is actively controlled to compensate the harmonics,
reactive power, and the current imbalance of a three-phase
four-wire (3P4W) nonlinear load with generated renewable power
injection into the grid simultaneously.
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TPS09.mdl