PMU Placement in Electric Transmission Networks for Reliable State Estimation against False Data Injection Attacks
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1006
- Type
- D - Journal article
- DOI
-
10.1109/JIOT.2017.2769134
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 1978
- Volume
- 4
- Issue
- 6
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is a collaboration with Zhejiang University, China. It is among the first to assess the performance of state estimation in an electric cyber-physical system paradigm under a false data injection attack. An algorithmic solution is also proposed to address the issue of installation and placement of additional synchronised phase measurement units with cyber security in mind. The findings of the work can improve the system reliability and power supply security in the National Grid, a crucial element of the UK’s critical infrastructure.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
