Featured Capability Flyers

• Federated Reinforcement Learning Co-Simulation Platform for Resilient Networked Microgrids
• Grid-Edge Autonomous Controls for Enhanced System Resilience
• Grid-Edge Model-Independent DistributeD LEarning (MIDDLE) for Intrusion Detection
• High-Fidelity Testbed
• Operational Resilience Planning Tool (ALERT 1.0)
• Resilient by Design Platform for Cyber-Physical System Assessment and Validation

Journal Articles

• Ramachandran T., S.S. Vasisht, A. Rahman, A. Bhattacharya, and V.A. Adetola. 2024.
  "A Computational Framework for Control Co-design of Resilient Cyber-Physical Systems with Applications to Microgrids." IEEE Transactions on Control Systems Technology 32, no. 3:793 - 804.
  PNNL-SA-183583. doi:10.1109/TCST.2023.3342144
• O. Bel et al., "Co-Simulation Framework for Network Attack Generation and Monitoring," in IEEE Access, vol. 12, pp. 142227-142240, 2024, DOI: 10.1109/ACCESS.2024.3468272. 
• Vu L. , T. Vu, T. L. Vu and A. Srivastava, "Multi-Agent Deep Reinforcement Learning for Distributed Load Restoration," in IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 1749-1760, March 2024, doi: 10.1109/TSG.2023.3310893.
• K. -B. Kwon, S. Mukherjee, H. Zhu and T. L. Vu, "Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control," 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 4483-4488, doi: 10.23919/ACC55779.2023.10156618.
• Bouvier, J.B., Nandanoori, S.P. and Ornik, M. "Losing Control of your Linear Network? Try Resilience Theory." IEEE Transactions on Control of Network Systems. PNNL-SA-187450, DOI: 10.1109/TCNS.2024.3431409
• Nguyen T., T. Vu, S. Paudyal, F. Blaabjerg, and T. L. Vu. 2022. “Grid-Forming Inverter-Based Wind Turbine Generators: Comprehensive Review, Comparative Analysis, and Recommendations.” IEEE Transactions on Energy Conversion. PNNL-SA-173077. DOI: 10.48550/ARXIV.2203.02105
• Bakker C., A. Bhattacharya, S. Chatterjee, M.R. Oster, C.J. Perkins, and F. Pan. 2021. "Solvability, Operability, and Security for Cyber-Physical Systems: New Computational Methods with Revised Assumptions." Journal of Information Warfare 20, no. 2:1-26. PNNL-SA-154041.

Conference Papers

• Sinha S., S. P. Nandanoori, B. Huang, T. Ramachandran and C. Bakker, "On Formalisation of Martin Distance for Linear Dynamical Systems," 2024 American Control Conference (ACC), Toronto, ON, Canada, 2024, pp. 1243-1248, PNNL-SA-190213. doi: 10.23919/ACC60939.2024.10644730.
• Nazir N., T. Ramachandaran, S. Kundu and V. Adetola, "Improved microgrid resiliency through distributionally robust optimization under a policy-mode framework," 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024, pp. 1-5, doi: 10.1109/PESGM51994.2024.10688813.
• Bornstein M., N. Nazir, J. Drgona, S. Kundu, and V. Adetola. 2024. Finding MIDDLE Ground: Scalable and Secure Distributed Learning. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24), October 21–25, 2024, Boise, ID, USA. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/ 3627673.3679587
• Mukherjee S., R. Hossain, Y. Liu, W. Du, V.A. Adetola, S. Mohiuddin, and Q. Huang, et al. 2023.
  Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. In IEEE Power & Energy Society General Meeting (PESGM 2023), July 16-20, 2023, Orlando, FL, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-178010. doi:10.1109/PESGM52003.2023.10252480
• Roy S., S. Nandanoori, S. Sarker, S. Kundu, and V.A. Adetola. 2023. "Disturbance Propagation Stability in Droop-Controlled Microgrids." In American Control Conference (ACC 2023), May 31-June 2, 2023, San Diego, CA, 3472-3477. Piscataway, New Jersey:IEEE. PNNL-SA-178344.
  doi:10.23919/ACC55779.2023.10156216
• Hyder B., A. Ahmed, P.T. Mana, T.W. Edgar, and S. Niddodi. 2023. Leveraging High-Fidelity Datasets for Machine Learning-based Anomaly Detection in Smart Grids. In 11th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES 2023), May 9, 2023, San Antonio, TX, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-182076. doi:10.1109/MSCPES58582.2023.10123428
• Subasi O., S. Purohit, A. Bhattacharya, and S. Chatterjee. 2023. "Impact-Driven Sampling Strategies for Hybrid Attack Graphs." In 2022 IEEE Virtual International Symposium on Technologies for Homeland Security. PNNL-SA-178629. doi:10.1109/HST56032.2022.10025439
• W. Du, Q. Nguyen, Y. Liu and S. M. Mohiuddin, "A Current Limiting Control Strategy for Single-Loop Droop-Controlled Grid-Forming Inverters Under Balanced and Unbalanced Faults," 2022 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2022, pp. 1-7, doi: 10.1109/ECCE50734.2022.9947505.
• Ramachandran T. , S. P. Nandanoori, S. Sinha, and C. Bakker, "Data-driven Characterization of Recovery Energy in Controlled Dynamical Systems using Koopman Operator," 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 2230-2235, PNNL-SA-171673. doi: 10.1109/CDC51059.2022.9992893.
• Jinsiwale R., M. Maharjan, T. Becejac, and A. Ashok. 2022. "Evaluating a real-time model decoupling compensation approach for developing scalable, high-fidelity microgrid models." In 7th IEEE Texas Power and Energy Conference (TPEC) 2023. PNNL-SA-179831.
• Das S., A. Dutta, S. Purohit, E. Serra, M. Halappanavar, and A. Pothen. 2022. "Towards Automatic Mapping of Vulnerabilities to Attack Patterns using Large Language Models." In IEEE International Symposium on Technologies for Homeland Security (HST 2022), November 14-15, 2022, Boston, MA, 1-7. Piscataway, New Jersey:IEEE. PNNL-SA-174298. doi:10.1109/HST56032.2022.10025459
• Bouvier, J.H., S.P. Nandanoori, M. Ornik, and S. Kundu. 2022. “Distributed Transient Safety Verification via Robust Control Invariant Sets: A Microgrid Application.” In The 2022 American Control Conference. arXiv. PNNL-SA-167568. DOI: 10.48550/arXiv.2202.09320
• Dutta A., S. Purohit, A. Bhattacharya, and O. Bel. 2022. "Cyber Attack Sequences Generation for Electric Power Grid." In 10th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. PNNL-SA-170464. DOI: 10.1109/MSCPES55116.2022.9770105
• Nazir M., and M. Almassalkhi. 2022. "Market mechanism to enable grid-aware dispatch of Aggregators in radial distribution networks." In 11th Bulk Power Systems Dynamics and Control Symposium. PNNL-SA-170762. DOI: 10.48550/arXiv.2207.04528
• Sinha S., S. Nandanoori, T. Ramachandran, C. Bakker, and A. Singhal. 2022. "Data-driven Resilience Characterization of Control Dynamical Systems." In American Control Conference (ACC 2022), June 8-10, 2022, Atlanta, GA, 2186-2193. Piscataway, New Jersey:IEEE. PNNL-SA-166887. doi:10.23919/ACC53348.2022.9867785
• Nazir M., T. Ramachandran, S. Bhattacharya, A. Singhal, S. Kundu, and V.A. Adetola. 2021. "Optimization-Based Resiliency Verification in Microgrids via Maximal Adversarial Set Characterization." In American Control Conference (ACC) 2022. PNNL-SA-167569. DOI: 10.48550/arXiv.2203.14918
• Ashok A., and T.W. Edgar. 2021. "A High-Fidelity Cyber-Physical Testbed-Based Benchmarking Dataset For Testing Operational Technology Specific Intrusion Detection Systems." In 2021 Virtual IEEE International Symposium on Technologies for Homeland Security. PNNL-SA-163767. DOI: 10.1109/HST53381.2021.9619851
• Roy S., S.G. Aksoy, P. Wang, and S.J. Young. 2021. "Structural Controllability Assessment for Inverter-Based Microgrids." In 2021 North American Power Symposium. PNNL-SA-165688. DOI: 10.1109/NAPS52732.2021.9654687

Presentations

• Nazir M., S. Kundu, T. Ramachandran, S. Bhattacharya, A. Singhal, and V.A. Adetola. 06/09/2022. "Optimization-Based Resiliency Verification in Microgrids via Maximal Adversarial Set Characterization." Presented by M. Nazir at American control conference (ACC), Atlanta, Georgia. PNNL-SA-174861.
• Dutta A., and S. Niddodi. 06/09/2022. "Physical Aware Cyber Platform for Increased Resilience to Cyber-physical Systems." Presented by A. Dutta, S. Niddodi at Techfest 2022, Richland, Washington. PNNL-SA-173952.
• Bel O., S. Niddodi, S. Purohit, and W.J. Hofer. 06/09/2022. "Power grid co-simulation using NS3 (RD2C)." Richland, Washington. PNNL-SA-173898.
• Dutta A., S. Purohit, A. Bhattacharya, and O. Bel. 05/03/2022. "Cyber Attack Sequences Generation for Electric Power Grid." Presented by A. Dutta at 10th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Virtual, Washington. PNNL-SA-172798.
• Vasisht S.S., A. Rahman, T. Ramachandran, A. Bhattacharya, and V.A. Adetola. 05/05/2022. "Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems." Online, Washington. PNNL-SA-172637.
• Edgar T.W. 04/26/2022. "Combining Multiple Levels of Fidelity for Experimentally Investigating Resilience." Presented by T.W. Edgar at IEEE PES Innovative Smart Grid Technologies, New Orleans, Louisiana. PNNL-SA-171818. View a recording of the presentation. 
• Bakker C. 04/26/2022. "Domain Knowledge Incorporation and the Koopman Operator." Presented by C. Bakker at Artificial Intelligence for Robust Engineering & Science, Oak Ridge, Tennessee. PNNL-SA-172238.
• Ashok A. 04/22/2022. "Leveraging High-Fidelity, Cyber-Physical Testbeds to Prototype and Validate Resilient, Data-Driven, Intelligently-Designed Controls for Future Grids." Online, Washington. PNNL-SA-172279.
• Ashok A., and T.W. Edgar. 11/08/2021. "A High-Fidelity Cyber-Physical Testbed-Based Benchmarking Dataset for Testing Operational Technology Specific Intrusion Detection Systems." Online Conference, Washington. PNNL-SA-168161.
• Nazir M., and M. Almassalkhi. 10/25/2021. "Guaranteeing a physically realizable battery dispatch without charge-discharge complementarity constraints." Presented by M. Nazir at INFORMS 2021, Anaheim, California. PNNL-SA-162417.
• Nazir M. 08/10/2021. "Grid-aware aggregation and real-time disaggregation of distributed energy resources in radial networks." Online Conference, Washington. PNNL-SA-165598.
• Kundu S., Bhattacharya S., Adetola V.A. 9/28/2021 ""Data-Driven Forecasting of Demand Flexibility in Grid-Interactive Buildings." Online Conference, United States. PNNL-SA-167200.
• Bakker C. 07/29/2021. "Operator-Theoretic Simulation and Analytics." Presented by C. Bakker at Techfest 2021, Online, Washington. PNNL-SA-164683.
• Nazir M. 07/26/2021. "Guaranteeing a physically realizable battery dispatch without charge-discharge complementarity constraints." Presented by M. Nazir at Power and Energy Society, General meeting, 2021, Online Conference, Washington. PNNL-SA-164066.
• Ashok A. 07/26/2021. "Evaluating Resilient Microgrid Controls using a High-Fidelity Cyber-Physical Testbed Environment – Opportunities and Challenges." Online Conference, Washington. PNNL-SA-163775.
• Nazir M. 07/20/2021. "Guaranteeing a physically realizable battery dispatch without charge-discharge complementarity constraints." Online Conference, Washington. PNNL-SA-164071.
• Chatterjee S., D.L. Vrabie, M. Schram, V.A. Adetola, N. Kumar, S. Choudhury, and C.P. Dowling, et al. 04/30/2021. "Reinforcement Learning (RL) Research Needs Workshop." Presented by S. Chatterjee, D.L. Vrabie, M. Schram, V.A. Adetola, N. Kumar, S. Choudhury, C.P. Dowling, A. Bhattacharya, Q. Huang, T. Vu, Z. Hou, J.C. Hardin at Reinforcement Learning (RL) Research Needs Workshop, Zoom, United States. PNNL-SA-161901.
• Adetola V.A. 02/03/2021. "Resilience through Data-driven intelligently-Designed Control - Thrust 2." Pacific Northwest National Laboratory, Washington. PNNL-SA-159521.