Constrained coordinated distributed control of smart grid with asynchronous information exchange

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 du...

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Main Authors: Benjamin Millar, Danchi Jiang, Md. Enamul Haque
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8946680/
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spelling doaj-ef7f36a480684136b9cc06fefb3d16bd2021-04-23T16:11:32ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202015-01-013451252510.1007/s40565-015-0168-18946680Constrained coordinated distributed control of smart grid with asynchronous information exchangeBenjamin Millar0Danchi Jiang1Md. Enamul Haque2School of Engineering & ICT, University of Tasmania,Hobart,AustraliaSchool of Engineering & ICT, University of Tasmania,Hobart,AustraliaSchool of Engineering, Deakin University,Melbourne,AustraliaSmart 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.https://ieeexplore.ieee.org/document/8946680/Smart gridDistributed optimizationDemand-side managementDistributed generationDistributed storageApproximate dynamic programming
collection DOAJ
language English
format Article
sources DOAJ
author Benjamin Millar
Danchi Jiang
Md. Enamul Haque
spellingShingle Benjamin Millar
Danchi Jiang
Md. Enamul Haque
Constrained coordinated distributed control of smart grid with asynchronous information exchange
Journal of Modern Power Systems and Clean Energy
Smart grid
Distributed optimization
Demand-side management
Distributed generation
Distributed storage
Approximate dynamic programming
author_facet Benjamin Millar
Danchi Jiang
Md. Enamul Haque
author_sort Benjamin Millar
title Constrained coordinated distributed control of smart grid with asynchronous information exchange
title_short Constrained coordinated distributed control of smart grid with asynchronous information exchange
title_full Constrained coordinated distributed control of smart grid with asynchronous information exchange
title_fullStr Constrained coordinated distributed control of smart grid with asynchronous information exchange
title_full_unstemmed Constrained coordinated distributed control of smart grid with asynchronous information exchange
title_sort constrained coordinated distributed control of smart grid with asynchronous information exchange
publisher IEEE
series Journal of Modern Power Systems and Clean Energy
issn 2196-5420
publishDate 2015-01-01
description 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.
topic Smart grid
Distributed optimization
Demand-side management
Distributed generation
Distributed storage
Approximate dynamic programming
url https://ieeexplore.ieee.org/document/8946680/
work_keys_str_mv AT benjaminmillar constrainedcoordinateddistributedcontrolofsmartgridwithasynchronousinformationexchange
AT danchijiang constrainedcoordinateddistributedcontrolofsmartgridwithasynchronousinformationexchange
AT mdenamulhaque constrainedcoordinateddistributedcontrolofsmartgridwithasynchronousinformationexchange
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