Augmenting and Advancing Cognitive Performance of Control Room Operators for Power Grid Resiliency

The goal of the project is to investigate the mechanisms required to integrate recent advances from cognitive neuroscience, artificial intelligence, machine learning, data science, cybersecurity, and power engineering to augment power grid operators for better performance. Two key parameters influencing human performance from the dynamic attentional control (DAC) framework are working memory (WM) capacity, the ability to maintain information in the focus of attention, and cognitive flexibility (CF), the ability to use feedback to redirect decision making given fast changing system scenarios. The project will achieve its goals through analyzing WM and CF and performance of power grid operators during extreme events; augmenting cognitive performance through advanced machine learning based decision support tools and adaptive human-machine system; and developing theory-driven training simulators for advancing cognitive performance of human operators for enhanced grid resilience. We are building a new set of algorithms for data-driven event detection, anomaly flag processing, root cause analysis and decision support using Tree Augmented naive Bayesian Net (TAN) structure, Minimum Weighted Spanning Tree (MWST) using the Mutual Information (MI) metric, and unsupervised learning improved for online learning and decision making. In addition we use a discrete event model that captures the causal and temporal relationships between failure modes (causes) and discrepancies (effects) in a system, thereby modeling the failure cascades while taking into account propagation constraints imposed by operating modes, protection elements, and timing delays. This formalism is called Temporal Causal Diagram (TCD) and can model the effects of faults and protection mechanisms as well as incorporate fine-grain, physics-based diagnostics into an integrated, system-level diagnostics scheme. This project is in collaboration with Prof. Gautam Biswas from ISIS and Prof. Anurag Srivastava from Washington State University.

Publications

  1. H. Tu, Y. Du, H. Yu, A. Dubey, S. Lukic, and G. Karsai, Resilient Information Architecture Platform for the Smart Grid: A Novel Open-Source Platform for Microgrid Control, IEEE Transactions on Industrial Electronics, vol. 67, no. 11, pp. 9393–9404, 2020.
  2. K. Sajan et al., Realistic Synchrophasor Data Generation for Anomaly Detection and Event Classification, in 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES@CPSIoTWeek, 2020.
  3. S. Eisele, T. Eghtesad, K. Campanelli, P. Agrawal, A. Laszka, and A. Dubey, Safe and Private Forward-Trading Platform for Transactive Microgrids, Transactions on Cyber-Physical Systems, 2020.
  4. S. Eisele et al., Blockchains for Transactive Energy Systems: Opportunities, Challenges, and Approaches, IEEE Computer, 2020.
  5. C. Barreto, T. Eghtesad, S. Eisele, A. Laszka, A. Dubey, and X. Koutsoukos, Cyber-Attacks and Mitigation in Blockchain Based Transactive Energy Systems, in 3rd IEEE International Conference on IndustrialCyber-Physical Systems (ICPS 2020), 2020.
  6. S. Hasan, A. Dubey, G. Karsai, and X. Koutsoukos, A game-theoretic approach for power systems defense against dynamic cyber-attacks, International Journal of Electrical Power & Energy Systems, vol. 115, 2020.
  7. A. Chhokra, S. Hasan, A. Dubey, and G. Karsai, A Binary Decision Diagram Based Cascade Prognostics Scheme For Power Systems, in 2020 American control conference, 2020.
  8. P. Ghosh et al., Designing a decentralized fault-tolerant software framework for smart grids and its applications, Journal of Systems Architecture, vol. 109, p. 101759, 2020.
  9. A. Laszka, A. Mavridou, S. Eisele, E. Statchtiari, and A. Dubey, VeriSolid for TRANSAX: Correct-by-Design Ethereum Smart Contracts for Energy Trading, in First International Summer School on Security and Privacy for Blockchains and Distributed Ledger Technologies, BDLT 2019, Vienna, Austria, 2019.
  10. Y. Zhang, S. Eisele, A. Dubey, A. Laszka, and A. K. Srivastava, Cyber-Physical Simulation Platform for Security Assessment of Transactive Energy Systems, in 7th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES@CPSIoTWeek 2019, Montreal, QC, Canada, 2019, pp. 1–6.
  11. P. Ghosh et al., On the Design of Fault-Tolerance in a Decentralized Software Platform for Power Systems, in IEEE 22nd International Symposium on Real-Time Distributed Computing, ISORC 2019, Valencia, Spain, 2019, pp. 52–60.
  12. S. Eisele, P. Ghosh, K. Campanelli, A. Dubey, and G. Karsai, Demo: Transactive Energy Application with RIAPS, in IEEE 22nd International Symposium on Real-Time Distributed Computing, ISORC 2019, Valencia, Spain, May 7-9, 2019, 2019, pp. 85–86.
  13. H. Tu, Y. Du, H. Yu, A. Dubey, S. Lukic, and G. Karsai, Resilient Information Architecture Platform for the Smart Grid (RIAPS): A Novel Open-Source Platform for Microgrid Control, IEEE Transactions on Industrial Electronics, pp. 1–1, 2019.
  14. S. Hasan, A. Ghafouri, A. Dubey, G. Karsai, and X. D. Koutsoukos, Vulnerability analysis of power systems based on cyber-attack and defense models, in 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018, Washington, DC, USA, February 19-22, 2018, 2018, pp. 1–5.
  15. H. Tu et al., A Hardware-in-the-Loop Real-Time Testbed for Microgrid Hierarchical Control, in 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018, pp. 2053–2059.
  16. Y. Du, H. Tu, S. Lukic, A. Dubey, and G. Karsai, Distributed Microgrid Synchronization Strategy Using a Novel Information Architecture Platform, in 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018, pp. 2060–2066.
  17. A. Chhokra, A. Dubey, N. Mahadevan, S. Hasan, and G. Karsai, Diagnosis in Cyber-Physical Systems with Fault Protection Assemblies, in Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical Systems, M. Sayed-Mouchaweh, Ed. Cham: Springer International Publishing, 2018, pp. 201–225.
  18. A. Chhokra, A. Dubey, N. Mahadevan, G. Karsai, D. Balasubramanian, and S. Hasan, Hierarchical Reasoning about Faults in Cyber-Physical Energy Systems using Temporal Causal Diagrams, International Journal of Prognostics and Health Management, vol. 9, no. 1, Feb. 2018.
  19. A. Chhokra, A. Kulkarni, S. Hasan, A. Dubey, N. Mahadevan, and G. Karsai, A Systematic Approach of Identifying Optimal Load Control Actions for Arresting Cascading Failures in Power Systems, in Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, SPSR-SG@CPSWeek 2017, Pittsburgh, PA, USA, April 21, 2017, 2017, pp. 41–46.
  20. A. Chhokra, S. Hasan, A. Dubey, N. Mahadevan, and G. Karsai, Diagnostics and prognostics using temporal causal models for cyber physical energy systems, in Proceedings of the 8th International Conference on Cyber-Physical Systems, ICCPS 2017, Pittsburgh, Pennsylvania, USA, April 18-20, 2017, 2017, p. 87.
  21. S. Hasan et al., A simulation testbed for cascade analysis, in IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, Washington, DC, USA, April 23-26, 2017, 2017, pp. 1–5.
  22. S. Hasan, A. Ghafouri, A. Dubey, G. Karsai, and X. Koutsoukos, Heuristics-based approach for identifying critical N-k contingencies in power systems, in 2017 Resilience Week (RWS), 2017, pp. 191–197.
  23. S. Hasan, A. Dubey, A. Chhokra, N. Mahadevan, G. Karsai, and X. Koutsoukos, A modeling framework to integrate exogenous tools for identifying critical components in power systems, in 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2017, pp. 1–6.
  24. A. Chhokra, A. Dubey, N. Mahadevan, and G. Karsai, Poster Abstract: Distributed Reasoning for Diagnosing Cascading Outages in Cyber Physical Energy Systems, in 7th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2016, Vienna, Austria, April 11-14, 2016, 2016, p. 33:1.
  25. N. Mahadevan, A. Dubey, A. Chhokra, H. Guo, and G. Karsai, Using temporal causal models to isolate failures in power system protection devices, IEEE Instrum. Meas. Mag., vol. 18, no. 4, pp. 28–39, 2015.
  26. R. Jain, S. M. Lukic, A. Chhokra, N. Mahadevan, A. Dubey, and G. Karsai, An improved distance relay model with directional element, and memory polarization for TCD based fault propagation studies, in 2015 North American Power Symposium (NAPS), 2015, pp. 1–6.
  27. A. Chhokra, A. Dubey, N. Mahadevan, and G. Karsai, A component-based approach for modeling failure propagations in power systems, in 2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2015, pp. 1–6.
  28. N. Mahadevan, A. Dubey, G. Karsai, A. Srivastava, and C.-C. Liu, Temporal Causal Diagrams for diagnosing failures in cyber-physical systems, in Annual Conference of the Prognostics and Health Management Society, 2014.