针对具有非均匀故障的直流微电网的新型可扩展容错控制设计

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Aimin Wang;Minrui Fei;Dajun Du;Yang Song
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引用次数: 0

摘要

亲爱的编辑,现有的微电网(MGs)控制方案在有效解决不确定电力线和故障情况下的插拔操作方面面临挑战。为解决这一问题,本信提出了一种适用于直流微电网的新型可扩展容错控制(FTC)策略。通过开发结构化 Lyapunov 矩阵 (SLM),引入了一种解耦 FTC 方法,以减轻不确定线路和非均匀故障的不利影响。此外,通过推导出仅依赖于局部参数的线性矩阵不等式(LMI)表示的局部规则,确保了全局稳定性。每个新的分布式发电单元 (DGU) 只需引入一个此类附加条件,就能使稳定性规则随着拓扑结构的变化而扩展。最后,通过使用 MATLAB/SimPowerSystems 工具箱进行模拟,说明了建议方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Scalable Fault-Tolerant Control Design for DC Microgrids With Nonuniform Faults
Dear Editor, The existing control schemes for microgrids (MGs) face challenges in effectively addressing plugging in/out operations under uncertain power lines and faults. To tackle this issue, this letter proposes a novel scalable fault-tolerant control (FTC) strategy for DC MGs. By developing a structured Lyapunov matrix (SLM), a decoupled FTC method is introduced to mitigate the adverse effects of uncertain lines and nonuniform faults. Moreover, global stability is ensured by deriving local rules expressed as linear matrix inequalities (LMIs) that solely depend on local parameters. Each new distributed generation unit (DGU) introduces only one additional condition of this nature, allowing the stability rules to scale with topology changes. Finally, the effectiveness of the proposed scheme is illustrated through simulations conducted using the MATLAB/SimPowerSystems toolbox.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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