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Distributed Economic Dispatch in Smart Grids: Event-Triggered Scheme

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

With the generation of renewable resources, clean energy and consumers’ desire to reduce household costs, the future development of power systems has attracted increasingly attention [1]. Recently, many researchers have devoted to studying EDP in power systems, which aims to handle the power allocation among generators via an economical and effective manner under the conditions of total load and generator constraints [2, 4, 4, 5]. Generally, EDP can be cast as an optimization problem. However, traditional centralized algorithms demand powerful central controllers to obtain global information and deal with large numbers of data [6–8]. As the power systems become increasingly larger, this kind of centralized optimization algorithms is often expensive in computation and communication.

Suggested Citation

  • Huaqing Li & Qingguo Lü & Zheng Wang & Xiaofeng Liao & Tingwen Huang, 2020. "Distributed Economic Dispatch in Smart Grids: Event-Triggered Scheme," Springer Books, in: Distributed Optimization: Advances in Theories, Methods, and Applications, chapter 0, pages 213-243, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-6109-2_10
    DOI: 10.1007/978-981-15-6109-2_10
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