Finite control set model predictive control for dynamic reactive power compensation with hybrid active power filters.
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2017
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Abstract
This work applies finite control set model
predictive control (FCS-MPC) for dynamic reactive power
compensation using a hybrid active power filter (HAPF).
The FCS-MPC uses a model based on LCL-Filter equations
to predict the system behavior and optimize the control
action. In fact, the application of FCS-MPC in gridconnected
converters with LCL-Filter is quite recent. This
algorithm is a very promising control technique for power
electronics converters and its use for reactive power
control of hybrid filter has not been reported in the
literature yet. This work uses the FCS-MPC in a
multivariable structure along with an adaptive notch filter
(ANF) to damp resonance. The main purpose is to improve
the dynamic response of the HAPF. Simulation as well as
practical results prove the feasibility of FCS-MPC
application in HAPF reactive power control. The dynamic
response of the equipment was significantly improved and
represents the main contribution of this work. As a result,
the FCS-MPC allows tracking fluctuations and abrupt
changes in load reactive power.
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FERREIRA, S. C. et al. Finite control set model predictive control for dynamic reactive power compensation with hybrid active power filters. IEEE Transactions on Industrial Electronics, v. 99, p. 1-10 , 2017. Disponível em: <http://ieeexplore.ieee.org/document/8012487/>. Acesso em: 02 out. 2017.