Payman Dehghanian

Payman Dehghanian
Title:
Assistant Professor
Office:
SEH 6630 | Office hours: M: 2:00 – 3:30 pm by Email Appointment Only
Phone:
202-994-6427
Email:
[email protected]
Website:
https://blogs.gwu.edu/payman/

 

Dr. Payman Dehghanian conducts research on power systems engineering.  His specific areas of interest are: power system reliability assessments and asset management tools; distribution automation distributed generations; power system resilience enhancement; weather-driven modeling; and electrical cybersecurity.

 

  • B.S., University of Tehran, 2009
  • M.S., Sharif University of Technology, 2011
  • Ph.D., Texas A&M University, 2017
  • Reliability and Resilience Modeling and Assessment in Power and Energy Systems

  • Data Analytics and Big Data Science Applications in Smart Grids

  • Planning and Operation of Power Grids with Massive Proliferation of Renewable Energy Sources

  • Applications of Synchrophasors Technology in Electric Power Systems

  • Asset Management and Maintenance in Power and Energy Systems

Book Chapters

  • Y. Zhang, S. Wang, and P. Dehghanian. Big Data and Machine Learning Analytics for Robust PV Power Forecast in Smart Grids. Advanced Technologies for Solar Photovoltaics Energy Systems, Springer Nature Publishing, 2021, ISBN: 978-3-030-64565-6.

  • M. H. Rezaeian Koochi, M. H. Hemmatpour, and P. Dehghanian. Clustering in Power Systems using Innovative Machine Learning/Deep Learning Methods. Application of Machine Learning and Deep Learning Methods to Power System Problems. Springer Nature Publishing, pp. 151-176, 2021, ISBN: 978-030-77695-4.

  • P. Dehghanian, B. Wang, and M. Tasdighi. New Protection Schemes in Smarter Power Grids with Higher Penetration of Renewable Energy Systems. Pathways to A Smarter Power System, Elsevier Academic Press, pp. 317-342, 2019, ISBN: 978-0-081-02592-5.

  • M. Kezunovic, Z. Obradovic, T. Dokic, B. Zhang, J. Stojanovic, P. Dehghanian, and P. -C. Chen, Predicting Spatiotemporal Impacts of Weather on Power Systems using Big Data Science, Data Science and Big Data: An Environment of Computational Intelligence, Springer International Publishing, vol. 24, pp. 265-299, 2017, ISBN: 978-3-319-53474-9.

Peer-Reviewed Journal Articles

  • S. Wang, L. Li, and P. Dehghanian, “Distributed Intelligence for Online Situational Awareness in Power Grids,” IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2499-2515, July 2022.

  • M. Kabirifar, M. Fotuhi-Firuzabad, M. Moeini-Aghtaie, N. Pourghaderi, and P. Dehghanian, “A Bi-Level Framework for Expansion Planning in Active Power Distribution Networks,” IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2639-2654, July 2022.

  • F. Salehi, A. Golshani, I. B. M. Matsuo, P. Dehghanian, M. Aghazadeh Tabrizi, and W. J. Lee, “On Mitigation of Sub-Synchronous Control Interactions in Hybrid Generation Resources,” IEEE Transactions on Industrial Informatics, vol. 8, no. 7, pp. 4372-4382, July 2022.  

  • F. Pourahmadi, S. H. Hosseini, P. Dehghanian, E. Shittu, and M. Fotuhi-Firuzabad, “Uncertainty Cost of Stochastic Producers: Metrics and Impacts on Power Grid Operational Flexibility,” IEEE Transactions on Engineering Management, vol. 69, no. 3, pp. 708-719, June 2022.

  • M. Nazemi and P. Dehghanian, “Powering through Wildfires: An Integrated Solution for Enhanced Safety and Resilience in Power Grids,” IEEE Transactions on Industry Applications, vol. 58, no. 3, pp. 4192-4202, May/June 2022.

  • V. Samavatian, M. Fotuhi-Firuzabad, M. Samavatian, P. Dehghanian, and F. Blaabjerg, “Iterative Machine Learning-Aided Framework Bridges between Fatigue and Creep Damages in Solder Interconnections,” IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 12, no. 2, pp. 349-358, Feb. 2022.  

  • A. Arjomandi-Nezhad, M. Fotuhi-Firuzabad, M. Moeini-Aghtaie, A. Safdarian, P. Dehghanian, and F. Wang, “Modelling and Optimizing Recovery Strategies for Power Distribution System Resilience,” IEEE Systems Journal, vol. 15, no. 4, pp. 4725-4734, Dec. 2021.

  • D. Anokhin, P. Dehghanian, M. Lejeune, and J. Su, “Mobility-As-A-Service for Resilience Delivery in Power Distribution Systems,” Production and Operations Management, vol. 30, no. 8, pp. 2492-2521, Oct. 2021.

  • M. Babakmehr, F. Harirchi, P. Dehghanian, and J. Enslin, “Artificial Intelligence-Based Cyber-Physical Event Classification for Islanding Detection in Power Inverters,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 9, no. 5, pp. 5282-5293, Oct. 2021.  

  • M. Nazemi, P. Dehghanian, X. Lu, and C. Chen, “Uncertainty-Aware Deployment of Mobile Energy Storage Systems for Power Distribution Grid Resilience,” IEEE Transactions on Smart Grid, vol. 12, no. 4, pp. 3200-3214, July 2021.

  • M. Alhazmi and P. Dehghanian, “Optimal Integration of Interconnected Water and Electricity Networks,” IET Generation, Transmission, and Distribution, vol. 15, no. 14, pp. 2033-2043, July 2021.

  • H. Sartipizadeh, F. Harirchi, M. Babakmehr, and P. Dehghanian, “Robust Model Predictive Control of DC-DC Floating Interleaved Boost Converter with Multiple Uncertainties,” IEEE Transactions on Energy Conversion, vol. 36, no. 2, pp. 1403-1412, June 2021.  

  • H. Tarzamni, E. Babaei, F. Panahandeh Esmaeelnia, P. Dehghanian, S. Tohidi, and M. B. Bannae Sharifian, “Analysis and Reliability Evaluation of a High Step-Up Soft Switching Push-Pull DC-DC Converter,” IEEE Transactions on Reliability, vol. 69, no. 4, pp. 1376-1386, Dec. 2020.

  • M. Lejeune and P. Dehghanian, “Optimal Power Flow Models with Probabilistic Guarantees: A Boolean Approach,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 4932-4935, Nov. 2020.  

  • V. Samavatian, M. Fotuhi-Firuzabad, M. Samavatian, P. Dehghanian, and F. Blaabjerg, “Correlation-Driven Machine Learning for Accelerated Reliability Assessment of Solder Joints in Electronics,” Nature Scientific Report, vol. 10, no. 14821, pp. 1-14, Sept. 2020.  

  • M. Nazemi and P. Dehghanian, “Seismic-Resilient Bulk Power Grids: Hazard Characterization, Modeling, and Mitigation,” IEEE Transactions on Engineering Management, vol. 67, no. 3, pp. 614-630, Aug. 2020.

  • B. Wang, P. Dehghanian, and D. Zhao, “Chance-Constrained Energy Management System for Power Grids with High Proliferation of Renewables and Electric Vehicles,” IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2324-2336, May 2020.

  • M. Nazemi, M. Moeini-Aghtaie, M. Fotuhi-Firuzabad, and P. Dehghanian, “Energy Storage Planning for Enhanced Resilience of Power Distribution Networks against Earthquakes,” IEEE Transactions on Sustainable Energy, vol. 11, no. 2, pp. 795-806, April 2020.

  • S. Wang, P. Dehghanian, L. Li, and B. Wang, “A Machine Learning Approach to Detection of Geomagnetically-Induced Currents in Power Grids,” IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 1098-1106, March/April 2020.

  • S. Wang, P. Dehghanian, and L. Li, “Power Grid Online Surveillance through PMU-Embedded Convolutional Neural Networks,” IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 1146-1155, March/April 2020.

  • F. Pourahmadi, H. Heidarabadi, S. H. Hosseini, and P. Dehghanian, “Dynamic Uncertainty Set Characterization for Bulk Power Grid Flexibility Assessment,” IEEE Systems Journal, vol. 14, no.1, pp. 718-728, March 2020.

  • P. Jamborsalamati, M. J. Hossain, S. Taghizadeh, A. Sadu, G. Konstantinou, M. Manbachi, and P. Dehghanian, “Enhancing Power Grid Resilience through An IEC61850-based EV-Assisted Load Restoration,” IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1799-1810, March 2020.

  • T. Becejac and P. Dehghanian, “PMU Multilevel End-to-End Testing to Assess Synchrophasor Measurements during Faults,” IEEE Power and Energy Technology Systems Journal, vol. 6, no. 1, pp. 71-80, March 2019. 

  • P. Dehghanian, B. Zhang, T. Dokic, and M. Kezunovic, “Predictive Risk Analytics for Weather-Resilient Operation of Electric Power Systems,” IEEE Transactions on Sustainable Energy, vol. 10, no. 1, pp. 3-15, January 2019.

  • B. Zhang, P. Dehghanian and M. Kezunovic, “Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience,” IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 535-545, January 2019.  

  • P. Dehghanian and M. Kezunovic, “Probabilistic Decision Making for the Bulk Power System Optimal Topology Control,” IEEE Transactions on Smart Grid, vol. 7, no. 4, pp. 2071-2081, July 2016.

  • P. Dehghanian, Y. Wang, G. Gurrala, E. Moreno-Centeno, and M. Kezunovic, “Flexible Implementation of Power System Corrective Topology Control,” Electric Power System Research, vol. 128, pp. 79-89, Nov. 2015.

Peer-Reviewed Conference/Workshop Publications

  • R. Zhang, Y. Li, M. Hijazi, J. Su, and P. Dehghanian, “Machine Learning-Aided Enhancement of Power Grid Resilience to Electromagnetic Pulse Strikes,” The 54th North American Power Symposium (NAPS), pp. 1-6, Oct. 2022, Salt Lake City, Utah, USA.

  • M. Hijazi and P. Dehghanian, “Spatio-Temporal Insights into Recent Electricity Outages in the U.S.: Drivers, Trends and Impacts,” The 54th North American Power Symposium (NAPS), pp. 1-6, Oct. 2022, Salt Lake City, Utah, USA.

  • Y. Li, S. Wang, A. H. Etemadi, and P. Dehghanian, “Adaptive Harmonic Power Flow Algorithm for Hybrid AC/DC Transmission Systems,” IEEE Industry Applications Society (IAS) Annual Meeting, pp. 1-8, Oct. 2022, Detroit, Michigan, USA.

  • J. Su, P. Dehghanian, B. Vergara, and M. Heidari Kapourchali, “An Energy Management System for Joint Operation of Small-Scale Wind Turbines and Electric Thermal Storage in Isolated Microgrids,” The 53rd North American Power Symposium (NAPS), pp. 1-6, Nov. 2021, College Station, Texas, USA.

  • A. Alawad, A. Alnakhli, and P. Dehghanian, “Optimal Energy Management of A Power Transmission Grid under A Heatwave Exposure,” The 53rd North American Power Symposium (NAPS), pp. 1-6, Nov. 2021, College Station, Texas, USA.

  • M. Alhazmi, P. Dehghanian, M. Nazemi, and F. Wang, “Coordination Framework for Integrated Operation of Water-Power Systems under Contingencies,” IEEE Industry Applications Society (IAS) Annual Meeting, pp. 1-7, Oct. 2021, Vancouver, British Columbia, Canada.

  • M. Nazemi, P. Dehghanian, M. Alhazmi, and Y. Darestani, “Resilience Enhancement of Electric Distribution Grids against Wildfires,” IEEE Industry Applications Society (IAS) Annual Meeting, pp. 1-7, Oct. 2021, Vancouver, British Columbia, Canada.

  • Y. Li, S. Wang, L. Li, and P. Dehghanian, “Artificial Intelligence for Real-Time Topology Identification in Power Distribution Systems,” The 52nd North American Power Symposium (NAPS), pp. 1-6, April 2021, Tempe, Arizona, USA.

  • M. Alhazmi, P. Dehghanian, M. Nazemi, and M. Mitolo, “Joint Operation Optimization of the Interdependent Water and Electricity Networks,” IEEE Industry Applications Society (IAS) Annual Meeting, pp. 1-7, Oct. 2020, Detroit, Michigan, USA.

  • M. Nazemi, P. Dehghanian, and Z. Yang, “Swift Disaster Recovery in Resilient Power Grids: Integration of DERs with Mobile Power Sources,” International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 1-6, Aug. 2020, Liege, Belgium.

  • S. Dehghan-Dehnavi, M. Fotuhi-Firuzabad, M. Moeini-Aghtaie, P. Dehghanian, and F. Wang, “Estimating Participation Abilities of Industrial Customers in Demand Response Programs: A Two-Level Decision-Making Tree Analysis,” IEEE/IAS 56th Industrial and Commercial Power Systems (I&CPS) Technical Conference, April 2020, Las Vegas, Nevada, USA.

  • M. Nazemi, P. Dehghanian, M. Alhazmi, and F. Wang, “Multivariate Uncertainty Characterization for Resilience Planning in Electric Power Systems,” IEEE/IAS 56th Industrial and Commercial Power Systems (I&CPS) Technical Conference, April 2020, Las Vegas, Nevada, USA.

  • M. Babakmehr, F. Harirchi, M. Nazir, S. Wang, P. Dehghanian, and J. Enslin, “Sparse Representation-based Classification of Geomagnetically Induced Currents,” Clemson University Power Systems Conference, March 2020, Clemson SC, USA.  

  • B. Shinde, S. Wang, P. Dehghanian, and M. Babakmehr, “Real-Time Detection of Critical Generators in Power Systems: A Deep Learning HCP Approach,” The 4th IEEE Texas Power and Energy Conference (TPEC), pp. 1-6, Feb. 2020, College Station, Texas, USA.

  • Z. Yang, M. Nazemi, P. Dehghanian, and M. Barati, “Toward Resilient Solar-Integrated Distribution Grids: Harnessing the Mobility of Power Sources,” IEEE Power and Energy Society (PES) Transmission and Distribution (T&D) Conference and Exposition, April 2020, Chicago, Illinois, USA.

  • D. Wang, Y. Li, P. Dehghanian, S. Wang, “Power Grid Resilience to Electromagnetic (EMP) Disturbances: A Literature Review,” The 51st North American Power Symposium (NAPS), pp. 1-6, Oct. 2019, Wichita, Kansas, USA.

  • J. Su, P. Dehghanian, M. Nazemi, and B. Wang, “Distributed Wind Power Resources for Enhanced Power Grid Resilience,” The 51st North American Power Symposium (NAPS), pp. 1-6, Oct. 2019, Wichita, Kansas, USA.

  • S. Wang, P. Dehghanian, L. Li, and B. Wang, “A Machine Learning Approach to Detection of Geomagnetically-Induced Currents in Power Grids,” IEEE Industry Applications Society (IAS) Annual Meeting, pp. 1-7, Sept.-Oct. 2019, Baltimore, Maryland, USA.

  • M. Nazemi, P. Dehghanian, and M. Lejeune, “A Mixed-Integer Distributionally Robust Chance-Constrained Model for Optimal Topology Control in Power Grids with Uncertain Renewables,” 13th IEEE Power and Energy Society (PES) PowerTech Conference, pp. 1-6, June 2019, Milan, Italy.

  • M. Alhazmi, P. Dehghanian, S. Wang, and Bhavesh Shinde, “Power Grid Optimal Topology Control Considering Correlations of System Uncertainties,” IEEE/IAS 55th Industrial and Commercial Power Systems (I&CPS) Technical Conference, pp. 1-7, May 2019, Calgary, Canada.

  • S. Wang, P. Dehghanian, B. Zhang, “A Data-Driven Algorithm for Online Power Grid Topology Change Identification with PMUs,” IEEE Power and Energy Society (PES) General Meeting, pp. 1-5, August 2019, Atlanta, Georgia, USA.

  • S. Wang, P. Dehghanian, Y. Gu, “A Novel Multi-Resolution Wavelet Transform for Online Power Grid Waveform Classification,” The 1st IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), pp. 1-8, May 2019, College Station, Texas, USA.

  • S. Wang, P. Dehghanian, M. Alhazmi, J. Su, and B. Shinde, “Resilience-Assured Protective Control of DC/AC Inverters under Unbalanced and Fault Scenarios,” The 10th IEEE Power and Energy Society (PES) Conference on Innovative Smart Grid Technologies-North America (ISGT-NA), pp. 1-5, Feb. 2019, Washington DC, USA.

  • M. H. Rezaeian Koochi, P. Dehghanian, S. Esmaeili, P. Dehghanian, and S. Wang, “A Synchrophasor-based Decision Tree Approach for Identification of Most Coherent Generating Units,” The 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 71-76, Oct. 2018, Washington DC, USA.

  • M. S. Misaghian, M. Safari, A. Heidari, M. Kia, P. Dehghanian, and B. Wang, “Electric Vehicles Contributions to Voltage Improvement and Loss Reduction in Microgrids,” The 50th North American Power Symposium (NAPS), pp. 1-6, Sept. 2018, Fargo, North Dakota, USA.

  • P. Dehghanian, Y. Guan, and M. Kezunovic, “Real-Time Life-Cycle Assessment of Circuit Breakers for Maintenance using Online Condition Monitoring Data,” IEEE/IAS 54th Industrial and Commercial Power Systems (I&CPS) Technical Conference, pp. 1-10, May 2018, Niagara Falls, Canada.

IEEE Honors and Awards 

  • [2022] IEEE Industry Application Society (IAS) Outstanding Young Member Service Award

  • [2022] Young Professional Achievement Award, IEEE Electrical Safety Committee

  • [2017] The Best Reviewer Award, IEEE Open Access Journal of Power and Energy

  • [2016] IEEE Region 5 Outstanding Individual Achievement Award

  • [2016] IEEE Industry Application Society (IAS) Electrical Safety through Design Student Education Initiative Award

  • [2015] IEEE Eta Kappa Nu (HKN) Outstanding Young Professional Award (formerly known as IEEE Outstanding Young Electrical Engineer Award)

  • [2015] IEEE Region 5 Outstanding Individual Achievement Award

  • [2015] IEEE Industry Application Society (IAS) Myron Zucker Award on Electrical Safety through Design Student Education Initiative

  • [2013] The Nation-Wide Distinguished M.Sc. Thesis Award of the Year in Electrical Engineering, IEEE Iran Section, IRAN

Professional and Institutional Awards

  • [2022] The George Washington Univeristy’s Early-Career Researcher Award

  • [2021] The Early Career Award, Washington Academy of Sciences (WAS)

  • [2021] Defense TechConnect Innovation Award, 2021 Defense TechConnect Innovation and Exposition

  • [2019] Tier 1 Silver Award, US Department of Energy (DOE) Office of Electricity’s Electricity Industry Technology and Practices Innovation Challenge (EITPIC) Prize Competition.

  • [2019] The Excellent Associate Editor Award, Journal of Modern Power Systems and Clean Energy (MPCE)

  • [2019] Defense TechConnect Innovation Award, 2019 Defense TechConnect Summit and Exposition