TY - GEN
T1 - Scalable distributed reachability analysis for cyber-physical networked microgrids with communication latency
AU - Li, Yan
AU - Zhang, Yichen
AU - Zhao, Dongbo
AU - Du, Liang
N1 - Funding Information:
VI. ACKNOWLEDGMENT This work was supported in part by DOE Cybersecurity for Energy Delivery Systems Program: AIERCI Tool to Ensure Uninterrupted Energy Flow from Cyber Attacks Targeting Essential Forecasting Data for Grid Operations, Award Number M615000478. The authors would like to thank Dr. Matthias Althoff from Technische Universität München, Germany, for the helpful discussions about reachable set computation.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/21
Y1 - 2021/6/21
N2 - Due to the high penetration of power-electronic-interfaced distributed energy resources (DERs), a microgrid's inertia is significantly reduced, making it sensitive to cyber- and physical operational changes. When multiple microgrids are interconnected to form networked microgrids for improving system's resilience, the changes of one microgrid can quickly escalate to the overall system. In cyber-physical networked microgrids, the communication latency varies a lot. To efficiently quantify the impact of the communication latency on the dynamics of networked microgrids, a scalable distributed reachability analysis approach is presented in this paper. Reachable sets are calculated for each microgrid and then composited for the overall system dynamics evaluation. Extensive tests in the full paper will demonstrate the influence of communication latency on system dynamics and validate reachable sets can bound a system's all dynamic trajectories subject to latency changes. The test results also offer an insight into designing and managing the communication network for enhancing the system's resilience.
AB - Due to the high penetration of power-electronic-interfaced distributed energy resources (DERs), a microgrid's inertia is significantly reduced, making it sensitive to cyber- and physical operational changes. When multiple microgrids are interconnected to form networked microgrids for improving system's resilience, the changes of one microgrid can quickly escalate to the overall system. In cyber-physical networked microgrids, the communication latency varies a lot. To efficiently quantify the impact of the communication latency on the dynamics of networked microgrids, a scalable distributed reachability analysis approach is presented in this paper. Reachable sets are calculated for each microgrid and then composited for the overall system dynamics evaluation. Extensive tests in the full paper will demonstrate the influence of communication latency on system dynamics and validate reachable sets can bound a system's all dynamic trajectories subject to latency changes. The test results also offer an insight into designing and managing the communication network for enhancing the system's resilience.
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U2 - 10.1109/ITEC51675.2021.9490036
DO - 10.1109/ITEC51675.2021.9490036
M3 - Conference contribution
AN - SCOPUS:85114488893
T3 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
SP - 266
EP - 270
BT - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Y2 - 21 June 2021 through 25 June 2021
ER -