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PMU Placement in Electric Transmission Networks for Reliable State Estimation against False Data Injection Attacks

Yang, Q, Jiang, L, Hao, W, Zhou, B, Yang, P and Lv, Z (2017) PMU Placement in Electric Transmission Networks for Reliable State Estimation against False Data Injection Attacks. IEEE Internet of Things Journal, 4 (6). pp. 1978-1986. ISSN 2327-4662

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Currently the false data injection (FDI) attack bring direct challenges in synchronized phase measurement unit (PMU) based network state estimation in wide-area measurement system (WAMS), resulting in degraded system reliability and power supply security. This paper assesses the performance of state estimation in electric cyber-physical system (ECPS) paradigm considering the presence of FDI attacks. The adverse impact on network state estimation is evaluated through simulations for a range of FDI attack scenarios using IEEE 14-bus network model. In addition, an algorithmic solution is proposed to address the issue of additional PMU installation and placement with cyber security consideration and evaluated for a set of standard electric transmission networks (IEEE 14-bus, 30-bus and 57-bus network). The numerical result confirms that the FDI attack can significantly degrade the state estimation and the cyber security can be improved by an appropriate placement of a limited number of additional PMUs.

Item Type: Article
Additional Information: (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: Institute of Electrical and Electronics Engineers
Date Deposited: 06 Nov 2017 12:26
Last Modified: 04 Sep 2021 11:03
DOI or ID number: 10.1109/JIOT.2017.2769134
URI: https://researchonline.ljmu.ac.uk/id/eprint/7469
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