A Structure-Based Voltage Stability Index in Distribution System Through Dimensional Reduction

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-01-28 DOI:10.1109/TII.2025.3528523
Hongshen Zhang;Yongtao Zhang;Shibo He;Jiming Chen
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Abstract

Voltage collapse is a critical form of system instability in power systems, occurring when power generation is unable to meet power demand, resulting in considerable socio-economic impacts. Current methodologies for studying voltage collapse primarily utilize simulation-based approaches. While informative, they offer little theoretical insights into the mechanism of this perplexing phenomenon due to their numerical nature. This article introduces a novel analytical framework in distribution system based on dimension reduction. By effectively mapping high-dimensional systems into simpler, lower dimensional equivalents, our framework is capable of mathematically solving system equations. This subsequently differentiates the critical factors from the less influential ones and proposes a novel voltage stability index. The voltage stability index is directly calculated by the structure-based weighted sum of power demands without monitoring data. This approach facilitates the identification of potential origins of system instability and highlights components that are particularly vulnerable, thereby enabling more targeted and effective measures for system reinforcement and risk mitigation. We rigorously test our framework on seven different distribution systems, demonstrating its efficacy and potential as a tool for enhancing grid stability. Our findings indicate that this novel approach can offer significant advantages in understanding and mitigating the risks of voltage collapse.
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一种基于结构的降维配电系统电压稳定指标
电压崩溃是电力系统中系统不稳定的一种重要形式,发生在发电无法满足电力需求的情况下,造成相当大的社会经济影响。目前研究电压崩溃的方法主要采用基于仿真的方法。虽然信息丰富,但由于它们的数值性质,它们对这种令人困惑的现象的机制提供的理论见解很少。介绍了一种基于降维的配电系统分析框架。通过有效地将高维系统映射为更简单、更低维的等价系统,我们的框架能够在数学上求解系统方程。这随后区分了关键因素和影响较小的因素,并提出了一种新的电压稳定指标。电压稳定指标在没有监测数据的情况下,直接由基于结构的电力需求加权和计算得到。这种方法有助于识别系统不稳定的潜在根源,并突出特别脆弱的组件,从而使更有针对性和有效的措施用于系统加固和风险缓解。我们在七个不同的配电系统上严格测试了我们的框架,证明了它作为增强电网稳定性的工具的有效性和潜力。我们的研究结果表明,这种新颖的方法可以在理解和减轻电压崩溃的风险方面提供显著的优势。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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