Skip to content

Publications

  1. 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.

  2. 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.

  3. 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.

  1. 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]

  2. 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.

  3. 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]

  4. 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.

  5. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

Miscellaneous publications

  1. 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.

  2. Bhusal, N., & Gautam, M. (2020). Power system dynamic state estimation using extended and unscented Kalman filters. arXiv preprint arXiv:2012.06069.

  3. 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.

  4. 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.

  5. 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.