{"title":"无线路导纳信息的连续负载再分配攻击","authors":"Zelin Liu;Tao Liu;Yue Song;David J. Hill","doi":"10.1109/TSG.2024.3501356","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1762-1774"},"PeriodicalIF":10.1000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Consecutive Load Redistribution Attack Without Line Admittance Information\",\"authors\":\"Zelin Liu;Tao Liu;Yue Song;David J. Hill\",\"doi\":\"10.1109/TSG.2024.3501356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":13331,\"journal\":{\"name\":\"IEEE Transactions on Smart Grid\",\"volume\":\"16 2\",\"pages\":\"1762-1774\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Smart Grid\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10756615/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10756615/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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.
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.