Distributed Economic Dispatch in Smart Grids: General Unbalanced Directed Network

Huaqing Li (), Qingguo Lü, Zheng Wang, Xiaofeng Liao and Tingwen Huang
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Huaqing Li: Southwest University, College of Electronic and Information Engineering
Qingguo Lü: Southwest University, College of Electronic and Information Engineering
Zheng Wang: Southwest University, College of Electronic and Information Engineering
Xiaofeng Liao: Chongqing University, College of Computer Science
Tingwen Huang: Texas A&M University at Qatar, Science Program

Chapter Chapter 9 in Distributed Optimization: Advances in Theories, Methods, and Applications, 2020, pp 189-212 from Springer

Abstract: Abstract Economic and environmental factors, such as energy crisis, distributed energy resources, communication network, etc., endow modern energy network with dynamic and distributed natures. This trend inevitably raises technical and theoretical challenges in energy management and smart grid operation. Recently, economic dispatch in smart grids has been attracting more and more attention [1–15]. Although some control and optimization algorithms are available, a large number of distributed generators in smart grids further increase the diversification of the communication networks. Hence, how to achieve the optimal dispatch in the dynamic and changeful environment is worthy of further analysis.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-6109-2_9

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DOI: 10.1007/978-981-15-6109-2_9

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