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Constrained coordinated distributed control of smart grid with asynchronous information exchange
Citation
Millar, B and Jiang, D and Haque, ME, Constrained coordinated distributed control of smart grid with asynchronous information exchange, Journal of Modern Power Systems and Clean Energy, 3, (4) pp. 512-525. ISSN 2196-5420 (2015) [Refereed Article]
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Copyright Statement
Copyright 2015 The Authours. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
DOI: doi:10.1007/s40565-015-0168-1
Abstract
Smart grid constrained optimal control is a
complex issue due to the constant growth of grid complexity
and the large volume of data available as input to
smart device control. In this context, traditional centralized
control paradigms may suffer in terms of the timeliness of
optimization results due to the volume of data to be processed
and the delayed asynchronous nature of the data
transmission. To address these limits of centralized control,
this paper presents a coordinated, distributed algorithm
based on distributed, local controllers and a central coordinator
for exchanging summarized global state information.
The proposed model for exchanging global state
information is resistant to fluctuations caused by the
inherent interdependence between local controllers, and is
robust to delays in information exchange. In addition, the
algorithm features iterative refinement of local state estimations
that is able to improve local controller ability to
operate within network constraints. Application of the
proposed coordinated, distributed algorithm through
simulation shows its effectiveness in optimizing a global
goal within a complex distribution system operating under
constraints, while ensuring network operation stability
under varying levels of information exchange delay, and
with a range of network sizes.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | smart grid, distributed optimization, demand-side management, distributed generation, distributed storage, approximate dynamic programming |
| Research Division: | Information and Computing Sciences |
| Research Group: | Distributed computing and systems software |
| Research Field: | Distributed systems and algorithms |
| Objective Division: | Energy |
| Objective Group: | Energy storage, distribution and supply |
| Objective Field: | Energy storage, distribution and supply not elsewhere classified |
| UTAS Author: | Millar, B (Dr Benjamin Millar) |
| UTAS Author: | Jiang, D (Dr Danchi Jiang) |
| ID Code: | 104847 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 7 |
| Deposited By: | Engineering |
| Deposited On: | 2015-11-23 |
| Last Modified: | 2017-11-06 |
| Downloads: | 169 View Download Statistics |
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