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Constrained coordinated distributed control of smart grid with asynchronous information exchange


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]


Copyright Statement

Copyright 2015 The Authours. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1007/s40565-015-0168-1


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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