Publications

Gautam, M., & Benidris, M. (2023). A Graph Theory and Coalitional Game Theory-based Pre-positioning of Movable Energy Resources for Enhanced Distribution System Resilience. Sustainable Energy, Grids and Networks, 101095. [PDF]

Gautam, M., & Benidris, M. (2022, September). Pre-positioning of Movable Energy Resources for Distribution System Resilience Enhancement. In 2022 International Conference on Smart Energy Systems and Technologies (SEST) (pp. 1-6). IEEE. [PDF]

Gautam, M., Hotchkiss, E., & Benidris, M. (2022, November). Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement. In 2022 CIGRE Grid of the Future Symposium. [PDF]

Gautam, M., Bhusal, N., & Benidris, M. (2022, October). A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources. In 2022 IEEE Industry Applications Society Annual Meeting (IAS). [PDF]

Bhusal, N., Gautam, M., & Benidris, M. (2020, August). Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement. In 2020 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. [PDF]

Gautam, M., & Benidris, M. (2022, June). Distribution Network Reconfiguration Using Deep Reinforcement Learning. In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (pp. 1-6). IEEE. [PDF]

Gautam, M., Bhusal, N., & Benidris, M. (2022, April). Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement. In 2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) (pp. 1-5). IEEE. [PDF]

Gautam, M., Abdelmalak, M., Ben-Idris, M., & Hotchkiss, E. (2022, September). Post-Disaster Microgrid Formation for Enhanced Distribution System Resilience. In 2022 Resilience Week (RWS) (pp. 1-6). IEEE.

Hossain, R., Gautam, M., Lakouraj, M. M., Livani, H., & Benidris, M. (2022, April). Volt-VAR Optimization in Distribution Networks Using Twin Delayed Deep Reinforcement Learning. In 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-5). IEEE. [PDF]

Gautam, M., Hossain, R., MansourLakouraj, M., Bhusal, N., Benidris, M., & Livani, H. (2022, July). A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation. In 2022 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. [PDF]

Hossain, R., Gautam, M., MansourLakouraj, M., Livani, H., Benidris, M., & Baghzouz, Y. (2022, July). Soft Actor Critic Based Volt-VAR Co-optimization in Active Distribution Grids. In 2022 IEEE Power & Energy Society General Meeting (PESGM) (pp. 01-05). IEEE. [PDF]

MansourLakouraj, M., Gautam, M., Livani, H., & Benidris, M. (2023). Multi-Stage Volt/VAR Support in Distribution Grids: Risk-Aware Scheduling with Real-Time Reinforcement Learning Control. IEEE Access. [PDF]

Abdelmalak, M., Gautam, M., Morash, S., Snyder, A. F., Hotchkiss, E., & Benidris, M. (2022, September). Network Reconfiguration for Enhanced Operational Resilience using Reinforcement Learning. In 2022 International Conference on Smart Energy Systems and Technologies (SEST).

Gautam, M., Abdelmalak, M., MansourLakouraj, M., Benidris, M., & Livani, H. (2022, October). Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach. In 2022 IEEE Industry Applications Society Annual Meeting (IAS) (pp. 1-6). IEEE. [PDF]

Gautam, M., Bhusal, N., & Benidris, M. (2022, October). A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources. In 2022 IEEE Industry Applications Society Annual Meeting (IAS). [PDF]

Hossain, R., Gautam, M., Thapa, J., Livani, H., & Benidris, M. (2023). Deep Reinforcement Learning Assisted Co-optimization of Volt-VAR Grid service in Distribution Networks. Sustainable Energy, Grids and Networks, 101086.

MansourLakouraj, M., Gautam, M., Livani, H., & Benidris, M. (2022). A Multi-rate Sampling PMU-based Event Classification in Active Distribution Grids with Spectral Graph Neural Network. Electric Power Systems Research, 211, 108145. [PDF]

MansourLakouraj, M., Gautam, M., Hossain, R., Livani, H., Benidris, M., & Commuri, S. (2022, October). Event Classification in Active Distribution Grids using Physics-informed Graph Neural Network and PMU Measurements. In 2022 IEEE Industry Applications Society Annual Meeting (IAS) (pp. 1-6). IEEE.

Bhusal, N., Gautam, M., Shukla, R. M., Benidris, M., & Sengupta, S. (2022). Coordinated Data Falsification Attack Detection in the Domain of Distributed Generation using Deep Learning. International Journal of Electrical Power & Energy Systems, 134, 107345. [PDF]

Bhusal, N., Gautam, M., & Benidris, M. (2021). Detection of Cyber Attacks on Voltage Regulation in Distribution Systems using Machine Learning. IEEE Access, 9, 40402-40416. [PDF]

Bhusal, N., Shukla, R. M., Gautam, M., Benidris, M., & Sengupta, S. (2021). Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. International Journal of Electrical Power & Energy Systems, 129, 106806. [PDF]

Bhusal, N., Gautam, M., & Benidris, M. (2021, October). Cyber-attack Detection on Distributed Frequency Control of Islanded MGs Using Machine Learning. In 2021 IEEE Industry Applications Society Annual Meeting (IAS) (pp. 1-6). IEEE. [PDF]

Mukesh Gautam, Narayan Bhusal, Jitendra Thapa, & Mohammed Benidris. A Cooperative Game Theory-based Approach to Formulation of Distributed Slack Buses. Sustainable Energy, Grids and Networks, 2022.

Gautam, M., Lakouraj, M. M., Bhusal, N., Benidris, M., & Livani, H. (2022, April). Allocating Reserves in Active Distribution Systems for Tertiary Frequency Regulation. In 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-5). IEEE. [PDF]

Gautam, M., Bhusal, N., Benidris, M., & Livani, H. (2021, November). A Cooperative Game Theory-based Secondary Frequency Regulation in Distribution Systems. In 2021 North American Power Symposium (NAPS) (pp. 1-6). IEEE. [PDF]

Gautam, M., Bhusal, N., & Benidris, M. (2021, November). A Cooperative Game Theory-based Approach to Sizing and Siting of Distributed Energy Resources. In 2021 North American Power Symposium (NAPS) (pp. 01-06). IEEE. [PDF]

Gautam, M., Bhusal, N., Thapa, J., & Benidris, M. (2021, September). A Cooperative Game Theory-based Approach to Compute Participation Factors of Distributed Slack Buses. In 2021 International Conference on Smart Energy Systems and Technologies (SEST) (pp. 1-6). IEEE. [PDF]

Gautam, M., Bhusal, N., & Benidris, M. (2021, July). A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control. In 2021 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. [PDF]

Gautam, M., & Benidris, M. (2023, February). Coalitional Game Theory in Power Systems: Applications, Challenges, and Future Directions. In 2023 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-6). IEEE. [PDF]

Gautam, M., & Benidris, M. (2023). A Graph Theory and Coalitional Game Theory-based Pre-positioning of Movable Energy Resources for Enhanced Distribution System Resilience. Sustainable Energy, Grids and Networks, 101095. [PDF]

Gautam, M., & Benidris, M. (2022, September). Pre-positioning of Movable Energy Resources for Distribution System Resilience Enhancement. In 2022 International Conference on Smart Energy Systems and Technologies (SEST) (pp. 1-6). IEEE. [PDF]

Gautam, M., Bhusal, N., & Benidris, M. (2020, February). A Sensitivity-based Approach to Adaptive Under-frequency Load Shedding. In 2020 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-5). IEEE. [PDF]

Gautam, M., Bhusal, N., Benidris, M., Singh, C., & Mitra, J. (2020, August). A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources. In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (pp. 1-6). IEEE. [PDF]

Thapa, J., MansourLakouraj, M., Gautam, M., Abdelmalak, M., Benidris, M., & Livani, H. (2021, November). Real-time Optimal Dispatch of Behind-the-Meter DERs for Secondary Frequency Regulation. In 2021 North American Power Symposium (NAPS) (pp. 01-06). IEEE. [PDF]

MansourLakouraj, M., Gautam, M., Livani, H., Benidris, M., & Fajri, P. (2021, October). Multi-timescale Risk-constrained Volt/VAR Control of Distribution Grids with Electric Vehicles and Solar Inverters. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 01-06). IEEE. [PDF]

MansourLakouraj, M., Gautam, M., Livani, H., & Benidris, M. (2023). Multi-Stage Volt/VAR Support in Distribution Grids: Risk-Aware Scheduling with Real-Time Reinforcement Learning Control. IEEE Access. [PDF]

Gautam, M., Bhusal, N., Benidris, M., & Fajri, P. (2021, April). A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking. In 2021 IEEE Conference on Technologies for Sustainability (SusTech) (pp. 1-6). IEEE. [PDF]

Gautam, M., Bhusal, N., Benidris, M., & Louis, S. J. (2020, October). A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration. In 2020 IEEE Industry Applications Society Annual Meeting (pp. 1-6). IEEE. [PDF]

Gautam, M., Livani, H., Benidris, M., & Sarfi, V. (2021, February). Fuzzified PaCcET for Economic-Emission Scheduling of Microgrids. In 2021 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-6). IEEE. [PDF]

Bhusal, N., Gautam, M., Benidris, M., & Louis, S. J. (2021, April). Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE. [PDF]

Bhusal, N., Gautam, M., & Benidris, M. (2021, April). Cybersecurity of Electric Vehicle Smart Charging Management Systems. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE. [PDF]

Abdelmalak, M., Gautam, M., Thapa, J., Hotchkiss, E., & Benidris, M. (2022, October). Defensive Islanding to Enhance the Resilience of Distribution Systems against Cyber-induced Failures. In 2022 IEEE Industry Applications Society Annual Meeting (IAS).

Bhusal, N., & Gautam, M. (2020). Power System Dynamic State Estimation using Extended and Unscented Kalman Filters. arXiv preprint arXiv:2012.06069. [PDF]

Bhusal, N., Gautam, M., Abdelmalak, M., & Benidris, M. (2020, August). Modeling of Natural Disasters and Extreme Events for Power System Resilience Enhancement and Evaluation Methods. In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (pp. 1-6). IEEE. [PDF]

Benidris, M., Bhusal, N., Abdelmalak, M., Gautam, M., Egan, M., Groneman, S., & Farkas, T. (2021, October). Quantifying Resilience Value of Solar plus Storage in City of Reno. In 2021 Resilience Week (RWS) (pp. 1-6). IEEE. [PDF]

Abdelmalak, M., Bhusal, N., Gautam, M., & Benidris, M. (2023, February). Cyber-Physical Power System Layers: Classification, Characterization, and Interactions. In 2023 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-6). IEEE. [PDF]