DocumentCode :
3570751
Title :
Experimental Validation of Wireless Load Sharing Method for Isolated AC Microgrids
Author :
Guzman, Cristina ; Agbossou, Kodjo ; Cardenas, Alben
Author_Institution :
Inst. de Rech. sur l´Hydrogene (IRH), Univ. du Quebec a Trois-Rivieres (UQTR), Trois-Rivieres, QC, Canada
fYear :
2014
Firstpage :
260
Lastpage :
266
Abstract :
The efficient integration of Distributed Generation (DG) systems, taking as main energy source the renewable energies is nowadays a great challenge. To integrate them into a whole power sharing system as a part of an autonomous micro grid, the Droops control is a local alternative to control the power interfaces such as voltage source inverters (VSI) in order to share the common load power and to supply frequency/voltage required by the load. The objective of this paper is the demonstration of a power sharing strategy achieved with a wireless master/slave load configuration. The strategy involves a Direct Droops (DDroops) control scheme for the master mode operation and an Inverse Droops (I-Droops) control scheme for the slave mode operation, this last following the frequency and the voltage imposed by the master VSI. The synchronization of VSIs, the signals estimation and the frequency tracking have been efficiently achieved using ADALINE network (Adaptive Linear Neuron). Experimental results using a real micro grid test bench with Field Programmable Gate Array embedded devices (FPGA) for the hardware implementation of each VSIs control demonstrate the validity of the strategy proposed.
Keywords :
distributed power generation; field programmable gate arrays; invertors; power generation control; ADALINE network; DDroops control scheme; FPGA; adaptive linear neuron; direct droops control scheme; embedded device; field programmable gate array; frequency tracking; inverse droops control scheme; isolated AC microgrids; master mode operation; power sharing strategy; signal estimation; slave mode operation; wireless load sharing method; wireless master-slave load configuration; Control systems; Field programmable gate arrays; Frequency control; Microgrids; Reactive power; 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), 2014 IEEE
Type :
conf
DOI :
10.1109/EPEC.2014.26
Filename :
7051711
Link To Document :
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