低惯量电力系统分析与频率稳定控制:综述

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-11-20 DOI:10.1109/JAS.2024.125013
Changjun He;Hua Geng;Kaushik Rajashekara;Ambrish Chandra
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引用次数: 0

摘要

与传统同步发电机相比,电力电子集成可再生能源(RES)表现出更低的惯性。可再生能源的大规模集成导致系统惯性显著降低,给未来电力系统维持频率稳定带来了巨大挑战。近年来,这一问题引起了广泛关注。然而,现有研究尚未对低惯性系统背景下的系统惯性和频率稳定性有全面的认识。为此,本文全面回顾了频率稳定性的定义、建模、分析、评估和控制。本文首先探讨了低惯性系统的惯性和频率特性,然后给出了频率稳定性的新定义。然后概述了频率稳定的建模、分析和评估方法,以及这些方法在各种情况下的适用性。此外,还探讨了频率控制的两个关键因素--系统层面的能量源和设备层面的控制策略。最后,对低惯量电力系统的未来研究进行了展望。
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Analysis and Control of Frequency Stability in Low-Inertia Power Systems: A Review
Power electronic-interfaced renewable energy sources (RES) exhibit lower inertia compared to traditional synchronous generators. The large-scale integration of RES has led to a significant reduction in system inertia, posing significant challenges for maintaining frequency stability in future power systems. This issue has garnered considerable attention in recent years. However, the existing research has not yet achieved a comprehensive understanding of system inertia and frequency stability in the context of low-inertia systems. To this end, this paper provides a comprehensive review of the definition, modeling, analysis, evaluation, and control for frequency stability. It commences with an exploration of inertia and frequency characteristics in low-inertia systems, followed by a novel definition of frequency stability. A summary of frequency stability modeling, analysis, and evaluation methods is then provided, along with their respective applicability in various scenarios. Additionally, the two critical factors of frequency control—energy sources at the system level and control strategies at the device level—are examined. Finally, an outlook on future research in low-inertia power systems is discussed.
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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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