DocumentCode
3729717
Title
Optimizing and testing of batteries for a smart grid
Author
Ali Arefi;Gerard Ledwich;Richard Taylor;Alan Louis;Mithulan Nadarajah
Author_Institution
Queensland University of Technology
fYear
2015
Firstpage
1
Lastpage
5
Abstract
This paper presents optimization and testing processes for the deployment of batteries in rural networks. The injection of real power in the single wire earth return (SWER) networks offers advantages of reduced voltage drop and increased loadability. This paper shows how the sizing and location of battery systems can be designed and how the battery system for control of voltage can be tested. The optimal size and location of batteries is found through discrete particle swarm optimization (DPSO). It is seen that each kVA of batteries increases loadability of SWER network by 2kVA. The testing of such a smart battery system has been accomplished through use of a real timer hardware-in-the-loop simulator (OPAL-RT) interfaced to the full battery system.
Keywords
"Batteries","Voltage control","Regulators","Decision support systems","Optimization","Testing","Wires"
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
Type
conf
DOI
10.1109/APPEEC.2015.7381015
Filename
7381015
Link To Document