无线路导纳信息的连续负载再分配攻击

IF 10.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Smart Grid Pub Date : 2024-11-18 DOI:10.1109/TSG.2024.3501356
Zelin Liu;Tao Liu;Yue Song;David J. Hill
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引用次数: 0

摘要

本文提出了一种无需了解电网导纳矩阵即可发起隐身负载重分配攻击的新方法。首先,将传统LRA模型中涉及导纳矩阵的方程替换为利用功率传输分配因子(PTDF)矩阵的等效条件。随后,基于劫持的监控和数据采集(SCADA)数据,应用脊回归方法估计PTDF矩阵。为了使LRA造成的伤害最大化,设计了一种连续的小规模攻击策略,以收集更多的信息数据,并相应地更新PTDF矩阵估计以提高其准确性。最后,使用最终的PTDF矩阵估计完成隐形LRA。与导纳矩阵的估计相反,在所提出的方法中采用PTDF矩阵估计的基本原理是,后者需要SCADA系统不提供的母线电压相角信息。在不含输电网导纳信息的ieee30总线和ieee118总线系统上进行了仿真,验证了该攻击方法的准确性和有效性。
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Consecutive Load Redistribution Attack Without Line Admittance Information
This paper develops a novel method for launching a stealthy Load Redistribution Attack (LRA) without requiring knowledge of the power network’s admittance matrix. Initially, equations involving the admittance matrix in the conventional LRA model are substituted with equivalent conditions utilizing the Power Transfer Distribution Factor (PTDF) matrix. Subsequently, a ridge regression approach is applied to estimate the PTDF matrix based on the hijacked Supervisory Control and Data Acquisition (SCADA) data. To maximize the damage inflicted by the proposed LRA, a consecutively small-scale attack strategy is designed to gather more informative data, and the PTDF matrix estimation is then updated accordingly to enhance its accuracy. Ultimately, a stealthy LRA is completed using the final PTDF matrix estimation. The rationale behind employing the PTDF matrix estimation in the proposed method, as opposed to the estimation of the admittance matrix, is that the latter requires information on bus voltage phase angles not supplied by the SCADA system. Simulations on the IEEE 30-bus and IEEE 118-bus system, without admittance information for grid transmission lines, demonstrate the accuracy and efficacy of the proposed attack.
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来源期刊
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
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