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Distributed predefined-time optimal economic dispatch for microgrids
DOI:10.1016/j.automatica.2024.111870.png)
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
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
暂无机构信息
引用论文
Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming基于近似动态规划的微电网经济调度随机优化
Distributed Finite-Time Optimal Resource Management for Microgrids Based on Multi-Agent Framework基于多Agent框架的微电网分布式有限时间优化资源管理

