DocumentCode :
52560
Title :
Distributed and Decentralized Control of Residential Energy Systems Incorporating Battery Storage
Author :
Worthmann, Karl ; Kellett, Christopher M. ; Braun, Philipp ; Grune, Lars ; Weller, Steven R.
Author_Institution :
Mathematisches Inst., Tech. Univ. Ilmenau, Ilmenau, Germany
Volume :
6
Issue :
4
fYear :
2015
fDate :
Jul-15
Firstpage :
1914
Lastpage :
1923
Abstract :
The recent rapid uptake of residential solar photovoltaic installations provides many challenges for electricity distribution networks designed for one-way power flow from the generator to residential customers via transmission and distribution networks. For grid-connected installations, large amounts of generation during low load periods or intermittent generation can lead to a difficulty in balancing supply and demand, maintaining voltage and frequency stability, and may even result in outages due to overvoltage conditions tripping protection circuits. In this paper, we present four control methodologies to mitigate these difficulties using small-scale distributed battery storage. These four approaches represent three different control architectures: 1) centralized; 2) decentralized; and 3) distributed control. These approaches are validated and compared using data on load and generation profiles from customers in an Australian electricity distribution network.
Keywords :
battery storage plants; decentralised control; distributed control; distributed power generation; load flow; photovoltaic power systems; power distribution protection; solar power stations; transmission networks; Australian electricity distribution network; battery storage; centralized control; control methodologies; decentralized control; distributed battery storage; distributed control; distribution networks; electricity distribution networks; grid-connected installations; intermittent generation; one-way power flow; residential customers; residential energy systems; residential solar photovoltaic installations; transmission networks; tripping protection circuits; Batteries; Computational modeling; Cost function; Decentralized control; Electricity; Power demand; Distributed generation; energy storage; model predictive control (MPC);
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2015.2392081
Filename :
7031445
Link To Document :
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