Assistant Professor

Mads Almassalkhi (IEEE M'06; SM'19) is Assistant Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont and co-founder of startup company Packetized Energy. His research interests lie at the intersection of power systems, mathematical optimization, and control systems and focuses on developing scalable algorithms that improve responsiveness and resilience of power systems. He was awarded the Outstanding Junior Faculty award by UVM CEMS in 2016. Prior to joining the University of Vermont, he was lead systems engineer at Root3 Technologies, which developed software for set-point optimization of multi-energy systems. Before that, he received his PhD from the University of Michigan in Electrical Engineering: Systems (EE:S) in 2013 and a dual major in Electrical Engineering and Applied Mathematics at the University of Cincinnati, in Ohio, in 2008. He also serves as Chair of the IEEE SBLC Loads Subcommittee. When he is not working on energy problems or teaching, he is spending his time with his amazing wife and their three small children.

Publications

S. Brahma, N. Nazir, H. Ossareh, and M. Almassalkhi, “Optimal and resilient coordination of virtual batteries in distribution feeders,” 2020, Under review with IEEE Transactions on Power Systems (Rev02).


L. Duffaut Espinosa, A. Khurram, and M. Almassalkhi, “Reference-Tracking Control Policies for Packe- tized Coordination of Diverse DER Populations,” 2020, Under review in the IEEE Transactions on Control Systems Technology (Accepted).


A. Khurram, M. Amini, and et. al., “Real-time Hardware in the Loop Validation of Coordinating Packetized Enabled DERs,” To be submitted to journal, August 2020.
H. Mavalizadeh, L. Duffaut Espinosa, and M. Almassalkhi, “Decentralized Frequency Control using Packet-based Energy Coordination,” 2020, Under review at the IEEE SmartGridComm Conference.


M. Botkin-Levy, A. Engelmann, T. Mühlpfordt, et al., “Distributed control of charging for electric vehicle fleets under dynamic transformer ratings,” 2020, under review in IEEE Transactions on Control Systems Technology.


N. Nazir and M. Almassalkhi, “Grid-aware aggregation and realtime disaggregation of distributed energy resources in radial networks,” 2020, under review in IEEE Transactions on Power Systems.


N. Nazir and M. Almassalkhi, “Voltage positioning using co-optimization of controllable grid assets,” 2020, Under review with IEEE Transactions on Power Systems (Rev02).
L. A. Duffaut Espinosa and M. Almassalkhi, “A packetized energy management macromodel with quality of service guarantees for demand-side resources,” IEEE Transactions on Power Systems, vol. 35, no. 5, pp. 3660–3670, 2020.


M. Amini and M. Almassalkhi, “Optimal corrective dispatch of uncertain virtual energy storage systems,” IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 4155–4166, 2020.
N. Nazir, P. Racherla, and M. Almassalkhi, “Optimal multi-period dispatch of distributed energy resources in unbalanced distribution feeders,” IEEE Transactions on Power Systems, vol. 35, no. 4, pp. 2683–2692, 2020.


Z. Hurwitz, Y. Dubief, and M. Almassalkhi, “Economic efficiency and carbon emissions in multi-energy systems with flexible buildings,” International Journal of Electrical Power and Energy Systems, vol. 123, pp. 106–114, 2020.


S. R. Shukla, S. Paudyal, and M. R. Almassalkhi, “Efficient distribution system optimal power flow with discrete control of load tap changers,” IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2970–2979, 2019.


L. Duffaut Espinosa, A. Khurram, and M. Almassalkhi, “A Virtual Battery Model for Packetized Energy Management,” in IEEE Conference on Decision and Control (to appear), 2020.


A. Khurram, L. Duffaut Espinosa, R. Malhame, and M. Almassalkhi, “Identification of Hot Water End-use Process of Electric Water Heaters from Energy Measurements,” in Power Systems Computation Conference, Lisbon, Portugal, 2020.


N. Nazir and M. Almassalkhi, “Stochastic multi-period optimal dispatch of energy storage in unbalanced distribution feeders,” in Power Systems Computation Conference, Lisbon, Portugal, 2020.


A. Khurram, K. Desrochers, V. Hines, et al., “Real-world, full-scale validation of power balancing ser- vices from packetized virtual batteries,” in IEEE PES Conference on Innovative Smart Grid Technologies (ISGT), Washington, D.C., 2019.


M. Amini, A. Khurram, A. Klem, et al., “A Model-Predictive Control Method for Coordinating Virtual Power Plants and Packetized Resources, with Hardware-in-the-Loop Validation,” in IEEE PES General Meeting, Atlanta, Georgia, 2019.


N. Nazir and M. Almassalkhi, “Convex inner approximation of the feeder hosting capacity limits on dispatchable demand,” in IEEE Conference on Decision and Control, Nice, France, 2019.


L. D. Espinosa, M. Almassalkhi, P. D. H. Hines, and J. Frolik, “System Properties of Packetized En- ergy Management for Aggregated Diverse Resources,” in Power Systems Computation Conference, Dublin, Ireland, 2018.


M. Amini and M. Almassalkhi, “Trading off robustness and performance in receding horizon control with uncertain energy resources,” in Power Systems Computation Conference, Dublin, Ireland, 2018.


N. Nazir and M. Almassalkhi, “Receding-horizon optimization of unbalanced distribution systems with time-scale separation for discrete and continuous control devices,” in Power Systems Computation Confer- ence, Dublin, Ireland, 2018.


S. Brahma, M. Almassalkhi, and H. Ossareh, “A Stochastic Linearization Approach to Optimal Primary Control of Power Systems with Generator Saturation,” in IEEE Conference on Control Technology and Applications, Copenhagen, Denmark, 2018.

Mads Almassalkhi

Areas of Expertise and/or Research

Power and Energy Systems, Control Systems, Mathematical Optimization, Renewable Energy Integration

Education

  • Ph.D., University of Michigan, Ann Arbor

Contact

Phone:
  • (802) 656-3405
Office Location:

Votey 301C

Office Hours:

Office hours change every semester, but are usually held in Votey Hall.

Website(s):
  1. Mads' Website

Courses Taught

  • EE110 - Control Systems
  • EE113 - Electric Energy Systems (w/ Lab)
  • EE217 - Electric Energy System Analysis
  • EE301 - Linear System Theory (open to any CEMS grad)
  • EE395 - Convex Optimization with Applications (open to any CEMS grad)