Distributed Economic Dispatch in Smart Grids: Event-Triggered Scheme

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 10 in Distributed Optimization: Advances in Theories, Methods, and Applications, 2020, pp 213-243 from Springer

Abstract: 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.

Date: 2020
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DOI: 10.1007/978-981-15-6109-2_10

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