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Distributed Economic Dispatch in Smart Grids: General Unbalanced Directed Network

In: Distributed Optimization: Advances in Theories, Methods, and Applications

Author

Listed:
  • 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)

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.

Suggested Citation

  • Huaqing Li & Qingguo Lü & Zheng Wang & Xiaofeng Liao & Tingwen Huang, 2020. "Distributed Economic Dispatch in Smart Grids: General Unbalanced Directed Network," Springer Books, in: Distributed Optimization: Advances in Theories, Methods, and Applications, chapter 0, pages 189-212, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-6109-2_9
    DOI: 10.1007/978-981-15-6109-2_9
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