| Title | Synchrophasors-based Master State Awareness Estimator for Cybersecurity in Distribution Grid: Testbed Implementation & Field Demonstration |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Alanzi, Mataz, Challa, Hari, Beleed, Hussain, Johnson, Brian K., Chakhchoukh, Yacine, Reen, Dylan, Singh, Vivek Kumar, Bell, John, Rieger, Craig, Gentle, Jake |
| Conference Name | 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) |
| Date Published | apr |
| Keywords | composability, cybersecurity, data integrity, field demonstration, local State Estimator, phasor measurement units, Predictive Metrics, Protocols, pubcrawl, Real-time Systems, Resiliency, Smart Grid Situational Awareness, Smart grids, Substations, synchrophasor, testbed, Topology |
| Abstract | The integration of distributed energy resources (DERs) and expansion of complex network in the distribution grid requires an advanced two-level state estimator to monitor the grid health at micro-level. The distribution state estimator will improve the situational awareness and resiliency of distributed power system. This paper implements a synchrophasors-based master state awareness (MSA) estimator to enhance the cybersecurity in distribution grid by providing a real-time estimation of system operating states to control center operators. In this paper, the implemented MSA estimator utilizes only phasor measurements, bus magnitudes and angles, from phasor measurement units (PMUs), deployed in local substations, to estimate the system states and also detects data integrity attacks, such as load tripping attack that disconnects the load. To validate the proof of concept, we implement this methodology in cyber-physical testbed environment at the Idaho National Laboratory (INL) Electric Grid Security Testbed. Further, to address the "valley of death" and support technology commercialization, field demonstration is also performed at the Critical Infrastructure Test Range Complex (CITRC) at the INL. Our experimental results reveal a promising performance in detecting load tripping attack and providing an accurate situational awareness through an alert visualization dashboard in real-time. |
| DOI | 10.1109/ISGT50606.2022.9913073 |
| Citation Key | alanzi_synchrophasors-based_2022 |
Synchrophasors-based Master State Awareness Estimator for Cybersecurity in Distribution Grid: Testbed Implementation & Field Demonstration