基于采样数据的电力系统LFC的稳定性与镇定：一种数据驱动方法

IF 15.3 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI:10.1109/JAS.2024.124740

Yu-Long Fan;Chuan-Ke Zhang;Yong He

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引用次数: 0

摘要

这封信是关于通过数据驱动方法对基于采样数据的负载频率控制（LFC）系统进行稳定性分析和稳定性设计。通过基于数据的描述LFC系统的动态行为，导出了给定控制器的可容许最大采样间隔（MSI）的稳定性判据，并进一步发展了pi型控制器的设计条件以满足所要求的MSI。最后，通过实例验证了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Stability and Stabilization of Sampled-Data Based LFC for Power Systems: A Data-Driven Method

Dear Editor, This letter is concerned with stability analysis and stabilization design for sampled-data based load frequency control (LFC) systems via a data-driven method. By describing the dynamic behavior of LFC systems based on a data-based representation, a stability criterion is derived to obtain the admissible maximum sampling interval (MSI) for a given controller and a design condition of the PI-type controller is further developed to meet the required MSI. Finally, the effectiveness of the proposed methods is verified by a case study.

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来源期刊

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.