DocumentCode :
737509
Title :
Real-Time Implementation of ANFIS Control for Renewable Interfacing Inverter in 3P4W Distribution Network
Author :
Singh, Mukhtiar ; Chandra, Ambrish
Author_Institution :
Dept. of Electr. Eng., Deenbandhu Chhotu Ram Univ. of Sci. & Technol., Sonepat, India
Volume :
60
Issue :
1
fYear :
2013
Firstpage :
121
Lastpage :
128
Abstract :
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. This enables the grid to always supply/absorb a balanced set of fundamental currents at unity power factor even in the presence of the 3P4W nonlinear unbalanced load at the point of common coupling. The proposed system is developed and simulated in MATLAB/SimPowerSystem environment under different operating conditions. The digital signal processing and control engineering-based laboratory experimental results are also provided to validate the proposed control approach.
Keywords :
PI control; adaptive control; digital signal processing chips; distributed power generation; electric current control; fuzzy control; invertors; load flow control; neurocontrollers; nonlinear control systems; power distribution control; power factor; power grids; power system harmonics; reactive power control; renewable energy sources; 3P4W distribution network; 3P4W nonlinear unbalanced load compensation; ANFIS control; MATLAB-SimPowerSystem simulation; adaptive neurofuzzy control approach; bidirectional power flow; control engineering-based laboratory experimental; current imbalance compensation; digital signal processing; grid-connected renewable energy source; harmonics compensation; nonlinear system; point of common coupling; power electronics; proportional-integral controller; reactive power compensation; renewable interfacing inverter; renewable power injection; three-phase four-wire nonlinear unbalanced load compensation; unity power factor; Active filters; Computer architecture; Harmonic analysis; Inverters; Reactive power; Simulation; Voltage control; Distributed generation; grid interconnection; neuro-fuzzy control; nonlinear load; power quality; renewable energy; unbalanced load;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2012.2186103
Filename :
6140961
Link To Document :
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