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Distributed predefined-time optimal economic dispatch for microgrids

delete2024-11-01
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PRE
AI
张宇 (Yu Zhang)
王燕舞 封面图
王燕舞 (Yan‐Wu Wang)
J
Jiang‐Wen Xiao
刘骁康 (Xiao‐Kang Liu) *
DOI:10.1016/j.automatica.2024.111870delete
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摘要

摘要

En 中文
With the massive popularization of distributed generators, optimal economic dispatch has been a key optimization problem to maintain stable and efficient work of the whole system. In this paper, a new smooth reconstruction penalty function with continuous and piecewise linear differential is designed to deal with generation power constraints, which promotes to obtain a better suboptimal solution compared with the existing smooth penalty methods. A distributed predefined-time optimal economic dispatch strategy is presented by utilizing a time-based function. By employing the proposed strategy, the minimization of the generation cost with transmission loss under the power balance constraint and generation minimum/maximum constraints can be realized within a predefined settling time. The performance of the proposed optimization strategy is evaluated by simulations and hardware- in-the-loop experiments in terms of validity verification, robustness to load change and topology reconfiguration, plug-and-play functionality, and comparison with the existing results to illustrate the advantages of fast convergence and near optimal results. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Keyword:
Distributed generator
Optimal economic dispatch
Smooth reconstruction penalty method
Distributed predefined-time optimization

期刊

Automatica 封面图
Automatica
IF:
5.9
论文数:
1.2W
被引数:
5.2W

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