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Distributed Economic Dispatch Under Random Time-Varying Digraph

delete2024-09-01
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PRE
AI
R
Rui Wang *
Q
Qi Li
刘惠敏 cover
刘惠敏 (Huimin Liu)
DOI:10.1109/TII.2024.3399473delete
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Abstract

Abstract

En 中文
The transmission losses exist in power systems, and the communication network of smart grids is not fixed and reliable because of the intermittency of distributed renewable generations, packet loss, and uncertainty. Taking the issues into consideration in this work, we presented a distributed economic dispatch algorithm to address them. Assumed that the communication is random time-varying in the communication network and we proposed a distributed algorithm for the economic dispatch with B coefficient-based transmission losses. Instead of using simulation results to illustrate the effectiveness of the algorithm, the convergence and optimality of the designed algorithm are studied in this article. Furthermore, we show that the convergent speed is determined by the second largest eigenvalue (in modulus). Several simulation and comparison studies are given to show the effectiveness and superiority of the algorithm.
Keywords:
Propagation losses
Smart grids
Convergence
Communication networks
Optimization
Distributed algorithms
Generators
Distributed economic dispatch (DED)
gossip algorithm
smart grid
time-varying digraph
transmission losses

Journal

IEEE Transactions on Industrial Informatics cover
IEEE Transactions on Industrial Informatics
IF:
9.9
Papers:
8.6K
Citations:
6.0W

Organization

Q
Qilu University of Technology
Scholars:
1.1W
Papers: 8.9K
Citations: 16
Q
Qufu Normal University
Scholars:
7.8K
Papers: 5.8K
Citations: 5.4K
Cited Papers

Cited Papers

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A Finite-Time Distributed Optimization Algorithm for Economic Dispatch in Smart Grids
err2021-04-01
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errMao, Shuai; Dong, Ziwei; Schultz, Paul; Tang, Yang; Meng, Ke; Dong, Zhao Yang; Qian, Feng
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Brain transcranial direct current stimulation modulates motor excitability in mice
err2010-02-15
err0
PREAI
errMarco Cambiaghi; Svetla Velikova; Javier J. Gonzalez‐Rosa; Marco Cursi; Giancarlo Comi; Letizia Leocani
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