A survey on distributed optimisation approaches and applications in smart grids. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Wang, Huiwei; Li, Chaojie; Li, Jueyou; He, Xing; Huang, Tingwen
• Is Part Of: Journal of control and decision. Volume 6:Issue 1(2019)
• Page Start: 41
• Page End: 60
• Publication Date: 2019-01-02
• Subjects: Smart grids -- energy trading -- distributed optimisation -- game -- online learning; Control theory -- Periodicals; Decision making -- Periodicals; Robotics -- Periodicals; 003.505
• DOI: 10.1080/23307706.2018.1549516
• Languages: English
• ISSNs: 2330-7706

Abstract

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.