Design and evaluation of multidimensional CNN simulation framework against synchrophasor data spoofing attacks and correction for cyber-resiliency in power system
IF 2 4区 工程技术Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Robert Nobili Britto Thomas, Venkatesh Thirugnanasambandam, Manikandan Senthur, Manusri Rekshana
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引用次数: 0
Abstract
The increasing demand on synchronized measurements obtained from phasor measurement units (PMUs) has further increased potential threats, including data spoofing attacks. Such attacks on the synchronized measurements might greatly undermine the dynamic state estimation and important power system applications. This work proposes an integrated framework consisting of cyber physical testbed and multidimensional convolutional neural network (CNN) simulation framework to classify the data spoofing attacks on the generated real world synchrophasor data. This work uses a source authentication-based detection technique by extracting the spatial fingerprint information from PMU data. This information is provided as inputs to the multi-dimensional CNN (MD CNN) simulation framework. Finally, a robust correction algorithm using generative adversarial network (GAN) for reconstruction of spoofed PMU signal is proposed to eliminate bad measurements and enhance the integrity and reliability of synchrophasor data. Finally, the results of the proposed MD CNN classification framework and GAN based signal reconstruction algorithm are validated against the results obtained using traditional methods to validate the effectiveness of the proposed approach. Thus, the proposed framework aims at ensuring the cyber resilience of power grids to ensure its safe and reliable operation.
期刊介绍:
IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix.
The scope of IET Generation, Transmission & Distribution includes the following:
Design of transmission and distribution systems
Operation and control of power generation
Power system management, planning and economics
Power system operation, protection and control
Power system measurement and modelling
Computer applications and computational intelligence in power flexible AC or DC transmission systems
Special Issues. Current Call for papers:
Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf