实时协同仿真中接口信号延迟补偿的无模型预测分析

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Elutunji Buraimoh;Gokhan Ozkan;Laxman Timilsina;Grace Muriithi;Behnaz Papari;Ali Arsalan;Ali Moghassemi;Mustafa Ozden;Christopher Edrington
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引用次数: 0

摘要

地理上分散的实验室的实时联合仿真实现了广泛的系统仿真,但面临着通信延迟、影响准确性和稳定性的重大挑战。这个问题在实时电力系统协同仿真中是至关重要的,因为延迟会破坏同步并阻碍动态分析。本文提出无模型预测延迟补偿方法作为基于信号变换的可行替代方法。本研究以理想变压器方法为介面演算法,探讨无模型电力系统介面延迟预测与补偿架构的频域稳定性。类似地,时域实现揭示了信号幅度放大,通过引入延迟和频率相关的归一化因子来解决。该框架适应接口耦合信号,无需复杂的处理或系统模型即可实现实时参数调整,提高了分布式电力系统分析的联合仿真精度和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Model Free Predictors for Interface Signal Delay Compensation in Real-Time Cosimulation
Real-time cosimulation of geographically dispersed laboratories enables extensive system simulations but faces significant challenges from communication delays, impacting accuracy and stability. This issue is crucial in real-time power system cosimulation, where delays can disrupt synchronism and hinder dynamic analyses. This article proposes model-free predictive delay compensation methods as viable alternative signal transformation-based methods. This study explores the frequency domain stability of a model-free framework for delay prediction and compensation at power system interfaces using the ideal transformer method as interface algorithm. Similarly, time-domain implementation reveals signal amplitude magnification, addressed by introducing a delay- and frequency-dependent normalizing factor. This framework adapts interface coupling signals, enabling real-time parameter tuning without complex processing or system models, enhancing co-simulation accuracy and stability for distributed power system analyses.
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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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