DocumentCode :
1814300
Title :
Application of artificial intelligent technique to power quality issues in renewable energy sources
Author :
Geetha, K. ; Sangeetha, B.
Author_Institution :
Dept. of EEE, Karpagam Inst. of Technol., Coimbatore, India
fYear :
2013
fDate :
5-6 Dec. 2013
Firstpage :
233
Lastpage :
237
Abstract :
The global warming concerns, diminishing fossil fuels have made it necessary to move towards Renewable Energy Sources (RES) as a future energy solution. As a result of this, Renewable energy resources (RES) connected with distribution systems increases gradually. This paper presents a narrative control strategy for the implementation of a three-phase four wire currentcontrolled Voltage Source Inverter (CC-VSI) as both power quality improvement and wind energy extraction. For power quality improvement, the inverter works as a shunt active power filter. The output of wind energy source is a DC voltage that determines the DC-bus voltage and the dc-side voltage is controlled by a fuzzy PI controller. The new approach has been illustrated in order to find the best way to reduce network harmonic currents of the connected load. All of the studies have been carried out through dynamic simulation using the MATLAB/Simulink Power System Toolbox.
Keywords :
PI control; active filters; artificial intelligence; electric current control; invertors; power harmonic filters; power supply quality; wind power; CC-VSI; DC-bus voltage; DC-side voltage; MATLAB; Simulink power system toolbox; artificial intelligent technique; current-controlled voltage source inverter; dynamic simulation; fuzzy PI controller; network harmonic currents; power quality improvement; power quality issue; renewable energy sources; shunt active power filter; wind energy extraction; wind energy source; Active filters; Harmonic analysis; Inverters; Power harmonic filters; Power quality; Voltage control; Active Power Filter; Fuzzy PI controller; Power Quality; harmonics compensation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable Energy and Sustainable Energy (ICRESE), 2013 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICRESE.2013.6927821
Filename :
6927821
Link To Document :
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