A survey on distributed optimisation approaches and applications in smart grids

Wang, H, Li, c, Li, J, He, X and Huang, T 2019, 'A survey on distributed optimisation approaches and applications in smart grids', Journal of Control and Decision, vol. 6, no. 1, pp. 41-60.


Document type: Journal Article
Collection: Journal Articles

Title A survey on distributed optimisation approaches and applications in smart grids
Author(s) Wang, H
Li, c
Li, J
He, X
Huang, T
Year 2019
Journal name Journal of Control and Decision
Volume number 6
Issue number 1
Start page 41
End page 60
Total pages 20
Publisher Taylor & Francis
Abstract Smart grid and smart metering technologies are transforming the utility industry and the customer experience in search of a new energy deal that supports a more collaborative, eco-friendly, stable, reliable and cost-efficient system as a whole. In order to unlock the full benefits, utilities need now to develop new technologies like distributed optimisation methods to excavate the latent value from the magnanimous data. This paper surveys recent advances of distributed optimisation and game algorithms with applications in power systems. In particular, this paper reviews distributed algorithms for model-based offline optimisation solution of dynamic economic dispatch problems, charging control problems for plug-in electric vehicles and risk-averse energy trading as well as model-free online algorithms for demand response problems.
Subject Applied Mathematics not elsewhere classified
Keyword(s) distributed optimisation
energy trading
game
online learning
Smart grids
DOI - identifier 10.1080/23307706.2018.1549516
Copyright notice © 2018 Northeastern University, China
ISSN 2330-7706
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