Distributed Event-Triggered Scheme for Economic Dispatch in Smart Grids

By Chaojie Li, Xinghuo Yu, Wenwu Yu, Tingwen Huang, Zhiwei Liu. IEEE Transactions on Industrial Informatics, 2016

334 citations recorded by the source corpus.

To reduce information exchange requirements in smart grids, an event-triggered communication-based distributed optimization is proposed for economic dispatch. In this work, the θ-logarithmic barrier-based method is employed to reformulate the economic dispatch problem, and the consensus-based approach is considered for developing fully distributed technology-enabled algorithms. Specifically, a novel distributed algorithm utilizes the minimum connected dominating set (CDS), which efficiently allocates the task of balancing supply and demand for the entire power network at the beginning of economic dispatch. Further, an event-triggered communication-based method for the incremental cost of each generator is able to reach a consensus, coinciding with the global optimality of the objective function. In addition, a fast gradient-based distributed optimization method is also designed to accelerate the convergence rate of the event-triggered distributed optimization. Simulations based on the IEEE 57-bus test system demonstrate the effectiveness and good performance of proposed algorithms.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2a43d3905699927ace64e880fe9ba8a730e14be1

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In Control and Systems Engineering

  1. Qing-Long Han
  2. Xianming Zhang
  3. Baolin Zhang
  4. Ziyang Meng
  5. Xinlei Yi
  6. Zongli Lin
  7. Tao Yang
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In Electrical and Electronic Engineering

  1. Xianming Zhang
  2. Qing-Long Han
  3. Karl Henrik Johansson
  4. Ziyang Meng
  5. Yiguang Hong
  6. Zongli Lin
  7. Qing-Long Han
  8. Xiaohua Ge

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