A maiden application of Jaccard similarity for identification of tripped branch utilizing current synchronized measurement considering false data injection attack

The accurate identification of tripped branch (ITB) is an essential requirement to maintain the reliability and security of modern smart grid. Most of the existing phasor angle based approaches fail to identify the tripping of parallel branches. To this end, a novel method is presented in this study using current measurements of phasor measurement unit (PMU). A new term namely Jaccard dissimilarity index (JDI) is proposed and the ITB problem is solved through JDI based novel objective function. Furthermore, a generalized mathematical model of false data injection (FDI) attack is formulated considering two types of attack such as in phase attack and angular attack. Considering the FDI attack, the proposed method is implemented on different IEEE systems in MATLAB software. The identification rate of the proposed method is found to be competitive compared to some wellestablished methods. Test results considering various aspects such attack factor variation and attack location variation prove the applicability and effectiveness of the proposed method.

Automated summary

This study proposes a new method based on phasor measurement unit for accurately identifying the tripping of parallel branches. The ITB problem is solved by introducing JDI as a novel objective function. Furthermore, a mathematical model of false data injection attack considering different attack types is formulated, and the proposed method is implemented on different IEEE systems.