Improvement in Vulnerability and Error Analysis: A Synthetic Measurement Approach
- Resource Type
- Conference
- Authors
- Dhulipala, Surya Chandan; Ruben, Cody; Bretas, Arturo; Bretas, Newton
- Source
- 2019 IEEE Power & Energy Society General Meeting (PESGM) Power & Energy Society General Meeting (PESGM), 2019 IEEE. :1-5 Aug, 2019
- Subject
- Engineering Profession
Power, Energy and Industry Applications
Power measurement
Error analysis
Current measurement
Measurement uncertainty
Redundancy
Estimation
Energy measurement
Vulnerability index
Gross error analysis
synthetic measurements
Smart grid
Cyber-attack
State estimation
- Language
- ISSN
- 1944-9933
Gross error analysis of measurements is very challenging in power systems, even in transmission systems with relatively high measurement redundancy. It is especially challenging to detect gross errors in measurements which are most vulnerable to undetectable errors, considering the classical residual based approach. This paper aims to ameliorate gross error analysis by augmenting the current measurement set with synthetic measurements (SM). SM are allocated by performing vulnerability analysis on the power system. A novel index called Vulnerability Index (VI) has been proposed to evaluate which measurement or bus is vulnerable to undetectable errors for a given measurement scenario. This method was tested on a 14 bus system and the results show that augmentation using SM can improve the performance of bad data detection and identification in measurements. Analysis of the influence of SM on bus VI and exclusion of various types of measurements is also performed.