DocumentCode :
3509142
Title :
Hardware implementation of droop control for isolated AC microgrids
Author :
Guzman, Cesar ; Cardenas, Alben ; Agbossou, Kodjo
Author_Institution :
Dept. de Genie Electr. et Genie Inf., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
fYear :
2012
fDate :
10-12 Oct. 2012
Firstpage :
145
Lastpage :
150
Abstract :
Lately the integration of Distributed generation systems privileging renewable sources for offshore regions is growing to view a reduction of air pollutant emissions. Due to the intermittency of Renewable Energy Sources (RES) it must be necessary to develop a quality advanced control of the involved power interfaces to warrant the frequency and voltage required by ac off-shore loads taking into account the absence of grid connection. The droops control is a well known control strategy used for load sharing using local information of the inverters active and reactive powers. This paper presents the experimental validation of droop control strategy, using ADAptive LInear NEuron (ADALINE) signal decomposition technique for the VSI synchronization, and within a realistic scenario representing an autonomous microgrid. The advantages of the real-time operation and parallel multi task operation have been exploited using the FPGA devices, which have been employed for the hardware implementation of each VSI (Voltage Source Inverter) control. Simulation, co-simulation and experimental results are provided to verify the validity of the proposed implementation.
Keywords :
distributed power generation; field programmable gate arrays; invertors; power generation control; power grids; power system interconnection; quality control; reactive power control; renewable energy sources; singular value decomposition; synchronisation; AC off-shore load; ADALINE signal decomposition technique; FPGA devices; RES; VSI synchronization; active power control; adaptive linear neuron; distributed generation system; droop control method; grid connection; hardware implementation; isolated AC microgrid; load sharing; offshore region; power interface; quality advanced control; reactive power control; renewable energy source; voltage source inverter; Delay; Frequency control; Inverters; Reactive power; Synchronization; Voltage control; Voltage measurement; Distributed power generation; Droops control; FPGA hardware programming; artificial neural networks; power measurement; programmable logic arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power and Energy Conference (EPEC), 2012 IEEE
Conference_Location :
London, ON
Print_ISBN :
978-1-4673-2081-8
Electronic_ISBN :
978-1-4673-2079-5
Type :
conf
DOI :
10.1109/EPEC.2012.6474939
Filename :
6474939
Link To Document :
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