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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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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1721512605590224896 |