Research

My research focuses on learning, optimization, and control for energy networks, centered on power systems, and extending to natural gas and water systems. Even incremental improvements in managing these vast and ubiquitous networks can yield tremendous financial, social, and environmental benefits. I leverage my experience in industrial practices alongside contemporary tools in optimization, control, and learning to develop implementable solutions with performance guarantees. 

Most of my work has greatly benefited from interaction with a number of colleagues and advisors from multi-disciplinary backgrounds. I am fortunate to have collaborators across U.S. national labs (NREL, PNNL), premier academic institutions (Virginia Tech, Un. of Minnesota, Un. of Illinois Urbana Champaign, UC San Diego, ETH Zurich, UC Berkeley), and industry (Siemens, EPRI). 

Selected Publication

(see here for complete list)

Journals

• Z. Yuan, G. Cavraro, M. K. Singh, and J. Cortés, “Learning provably stable local Volt/Var controllers for efficient network operation,” IEEE Trans. Power Syst., Apr. 2023.

• M. Jalali, M. K. Singh, V. Kekatos, G. B. Giannakis, and C.-C. Liu, “Fast inverter control by learning the OPF mapping using sensitivity-informed Gaussian processes,” IEEE Trans. Smart Grid, May. 2023.

• M. K. Singh and V. Kekatos, “Optimal power flow schedules with reduced low-frequency oscillations,” Electric Power Syst. Research, vol. 212, p. 108301, Nov. 2022 (presented at Power Sys. Comp. Conf. – PSCC, Porto, Portugal, Jun. 2022).

• M. K. Singh, V. Kekatos, and G. B. Giannakis, “Learning to solve the AC-OPF using sensitivity-informed deep neural networks,” IEEE Trans. Power Syst., vol. 37, no. 4, pp. 2833–2846, Jul. 2022.

• M. K. Singh, S. Dhople, F. Dörfler, and G. B. Giannakis, “Time-domain generalization of Kron reduction,” IEEE Control Systems Lett., vol. 7, pp. 259–264, Jun. 2022.

• S. Biswas, M. K. Singh, and V. Centeno, “Chance-constrained optimal distribution network partitioning to enhance power grid resilience,” IEEE Access, vol. 9, pp. 42169–42181, Mar. 2021.

• M. K. Singh and V. Kekatos, “On the flow problem in water distribution networks: Uniqueness and solvers,” IEEE Trans. Control of Network Systems, vol. 8, no. 1, pp. 462–474, Mar. 2021.

• M. K. Singh and V. Kekatos, “Natural gas flow solvers using convex relaxation,” IEEE Trans. Control of Network Systems, vol. 7, no. 3, pp. 1283–1295, Sep. 2020.

• M. K. Singh and V. Kekatos, “Optimal scheduling of water distribution systems,” IEEE Trans. Control of Network Systems, vol. 7, no. 2, pp. 711–723, Jun. 2020.

Conferences

• M. K. Singh, K. D. Polyzos, P. A. Traganitis, S. Dhople and G. B. Giannakis, “Physics-informed transfer learning for voltage stability margin prediction,” IEEE Int. Conf. Acoust., Speech, Sig. Process., Rhodes, Greece, June 2023.

• G. Cavraro, Z. Yuan, M. K. Singh, and J. Cortés, “Learning local Volt/Var controllers towards efficient network operation with stability guarantees,” in Proc. IEEE Conf. on Decision and Control, Cancún, Mexico, Dec. 2022.

• M. K. Singh, D. Venkatramanan, and S. Dhople, “Towards optimal primary- and secondary control design for networks with generators and inverters,” in Proc. 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton, IL, Sep. 2022 (invited paper).

• D. Venkatramanan*, M. K. Singh*, O. Ajala, A. Dominguez-Garcia, and S. Dhople, “Integrated system models for networks with generators & inverters,” in Proc. 11th Bulk Power Systems Dynamics and Control Symposium – IREP’2022, Banff, Canada, Jul. 2022 (*equal contribution).

• M. K. Singh, S. Taheri, V. Kekatos, K. P. Schneider, and C.-C. Liu, “Joint grid topology reconfiguration and design of Watt-VAR curves for DERs,” in Proc. IEEE PES General Meeting, Denver, CO, Jul. 2022.

• M. K. Singh, D. Venkatramanan, S. Dhople, B. Kroposki, and G. Giannakis, “Unifying energy-management problems for inverter-based power networks,” in Proc. IFAC Conference on Networked Systems – NecSys22, Zurich, Switzerland, Jul. 2022.

• G. Cavraro, M. K. Singh, and A. Bernstein, “Emergency voltage regulation in power systems via ripple-type control,” in Proc. Mediterranean Conf. on Control and Automation, Bari, Italy, Jun. 2021.

• M. K. Singh, G. Cavraro, A. Bernstein, and V. Kekatos, “Ripple-type control for enhancing resilience of networked physical systems,” in Proc. IEEE American Control Conf., New Orleans, LA, May 2021.

• M. K. Singh, S. Gupta, V. Kekatos, G. Cavraro, and A. Bernstein, “Learning to optimize power distribution grids using sensitivity-informed deep neural networks,” in Proc. IEEE Smart Grid Communications, Tempe, AZ, Nov. 2020.

• N. Sahani, M. K. Singh, and C.-C. Liu, “Moving horizon-based optimal scheduling of EV charging: A power system-cognizant approach,” in Proc. IEEE PES General Meeting, Montreal, Canada, Aug. 2020, (best paper session).

• M. K. Singh and V. Kekatos, “Natural gas flow equations: Uniqueness and an MI-SOCP solver,” in Proc. IEEE American Control Conf., Philadelphia, PA, Jul. 2019.

• M. K. Singh, V. Kekatos, and C.-C. Liu, “Optimal distribution system restoration with microgrids and distributed generators,” in Proc. IEEE PES General Meeting, Atlanta, GA, Aug. 2019.