Books:
[B1] Y. Shi (Author), M. Liu (Author) and F. Fang (Author), Combined Cooling, Heating, and Power Systems: Modeling, Optimization, and Operation, John Wiley & Sons, 2017, ISBN: 978-1-119-28335-5, link.
Pre-Print:
[P3] M. Fakouri Fard, M. Sahraei-Ardakani, G. Ou, and M. Liu, “Targeted hardening of electric distribution system components for enhanced resilience against earthquakes,” arXiv preprint arXiv: pending, pp. 1-7, 2021.
[P2] X. Huo* and M. Liu, “Distributed privacy-preserving electric vehicle charging control based on secure sharing,” arXiv preprint arXiv: 2110.02280 [eess.SY], pp. 1-7, 2021.
[P1] X. Huo* and M. Liu, “Two-facet scalable cooperative optimization of multi-agent systems in the networked environment”, arXiv preprint arXiv: 2010.06157 [math.OC], pp. 1-17, 2020.
Under Review:
[U5] M. Fakouri Fard, M. Sahraei-Ardakani, G. Ou, and M. Liu, “Targeted hardening of electric distribution system components for enhanced resilience against earthquakes,” submitted to Power Systems Computation Conference, pp. 1-7, 2021.
[U4] X. Huo* and M. Liu, “Distributed privacy-preserving electric vehicle charging control based on secure sharing,” submitted to Power Systems Computation Conference, pp. 1-7, 2021.
[U3] M. Sahraei-Ardakani, M. Liu, and E. Asparouhova, “Introducing energy insurance products to to manage renewable energy uncertainty”, submitted to Power Systems Computation Conference, pp. 1-7, 2021.
[U2] X. Huo* and M. Liu, “Privacy-preserving multi-agent optimization in cyber-physical systems – a synthesis of cryptography and decentralized optimization”, submitted to IEEE Transactions on Industrial Informatics, pp. 1-8, 2021.
[U1] X. Huo* and M. Liu, “Two-facet scalable cooperative optimization of multi-agent systems in the networked environment”, submitted to IEEE Transactions on Control Systems Technology, pp. 1-16, 2020.
Journal Papers:
[J17] X. Huo* and M. Liu, “Privacy-preserving decentralized multi-agent cooperative optimization – paradigm design and privacy analysis,” IEEE Control Systems Letters, vol. 6, pp. 824-829, 2021.
[J16] F. Fang, S. Yu*, and M. Liu, “An improved Shapley value-based profit allocation method for CHP-VPP,” Energy, vol. 213, pp. 118805, 2020.
[J15] M. Liu, B. Claessens, S. Peeters, and D. S. Callaway, “Trajectory tracking with an aggregation of hot water heaters: Combining model-based and model-free control in a commercial deployment,” IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5686-5695, 2019.
[J14] M. Liu, P. K. Phanivong, Y. Shi, and D. S. Callaway, “Decentralized charging control of electric vehicles in residential distribution network,” IEEE Transactions on Control Systems Technology, vol. 27, no. 1, pp. 266-281, 2019.
[J13] X. Liu, M. Liu and Y. Shi, “Event triggered model predictive control: A less conservative result,”Journal of the Franklin Institute, in press, doi:10.1016/j.jfranklin.2016.10.040, 2016.
[J12] M. Liu and Y. Shi, “Model predictive control for thermostatically controlled appliances providing load balancing service,”IEEE Transactions on Control Systems Technology, vol. 23, no. 5, pp. 1672-1684, 2016.
[J11] M. Liu, Y. Shi, and H. Gao, “Aggregation and charging control of PHEVs in smart grid: A cyber-physical perspective,”Proceedings of the IEEE, vol. 104, no. 5, pp. 1071-1085, 2016.
[J10] M. Liu, Y. Shi, and X. Liu “Distributed MPC of aggregated heterogeneous thermostatically controlled loads in smart grid,”IEEE Transactions on Industrial Electronics, vol. 63, no. 2, pp. 1120-1129, 2016.
[J9] M. Liu, and Y. Shi, “Model predictive control of aggregated heterogeneous second-order thermostatically controlled loads for ancillary services,” IEEE Transactions on Power Systems, vol. 31, no. 3, pp. 1963-1971, 2016.
[J8] M. Liu, Y. Shi, and F. Fang “Load forecasting and operation strategy design for CCHP systems using forecasted loads,” IEEE Transactions on Control Systems Technology, vol. 23, no. 5, pp. 1672-1684, 2015
[J7] M. Liu, and Y. Shi, “T-S fuzzy-model-based H2 and H∞ filtering for networked control systems with two-channel Markovian random delays,” Digital Signal Processing, vol. 27, pp. 167-174, 2014
[J6] M. Liu, Y. Shi, and F. Fang, “Combined cooling, heating and power systems: A survey,” Renewable & Sustainable Energy Reviews, vol. 35, pp. 1-22, 2014.
[J5] H. Zhang, M. Liu, J. Sheng, and Y. Shi, “Extended LMI representatives for stability and stabilization of discrete-time Takagi-Sugeno fuzzy systems,” Optimal Control, Applications and Methods, vol. 35, no. 6, pp. 647-655, 2014.
[J4] H. Zhang, Y. Shi, and M. Liu, “H∞ switched filtering for networked systems based on delay occurrence probabilities,”ASME Journal of Dynamic Systems, Measurement, and Control, vol. 135, no. 6, pp. 061002, 2013.
[J3] M. Liu, Y. Shi, and F. Fang, “Optimal power flow and PGU capacity of CCHP systems using a matrix modelling approach,”Applied Energy, vol. 102, pp. 794-802, 2012.
[J2] H. Zhang, Y. Shi, and M. Liu, “H∞ step tracking control for networked discrete-time nonlinear systems with integral and predictive actions,” IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 337-345, 2013.
[J1] M. Liu, Y. Shi, and F. Fang, “A new operation strategy for CCHP systems with hybrid chillers,” Applied Energy, vol. 95, pp. 164-173, 2012.
Conference Papers:
[C12] X. Huo* and M. Liu, “A novel cryptography-based privacy-preserving decentralized optimization paradigm,” in Proceedings of the IEEE International Conference on Industrial Cyber-Physical Systems, Victoria, BC, Canada, May 10-12, 2021. Best Student Paper Award
[C11] F. Jafarishiadeh, M. Liu, and M. Sahraei-Ardakani, “Preventive unit commitment for transmission line de-icing in changing weather conditions,” in Proceedings of the North American Power Symposium, Tempe, AZ, USA, Apr. 11-14, 2021.
[C10] X. Huo* and M. Liu, “Privacy-preserving decentralized multi-agent cooperative optimization – paradigm design and privacy analysis,” accepted, IEEE Conference on Decision and Control, Austin, TX, USA, Dec. 13-17, 2021.
[C9] X. Huo* and M. Liu, “Privacy-preserving decentralized optimization using homomorphic encryption,” in Proceedings of the IFAC Workshop on Cyber-Physical & Human Systems, Beijing, China, Dec. 3-5, 2020.
[C8] A. Plewe, A. Smith, and M. Liu, “A supervisory model predictive control framework for dual temperature setpoint optimization”, in Proceedings of the American Control Conference, Denver, CO, USA, Jul. 1-3, 2020.
[C7] M.Liu, “Chance-constrained SPDS-based decentralized control of distributed energy resources,” in Proceedings of the IEEE Conference on Decision and Control, Nice, France, Dec. 11-13, 2019.
[C6] M.Liu and M. Sahraei-Ardakani, “Chance-constrained shrunken-primal-dual subgradient (CC-SPDS) approach for decentralized electric vehicle charging control,” in Proceedings of the IEEE PES Innovative Smart Grid Technologies Asia, Chengdu, China, May. 21-24, 2019.
[C5] M.Liu, P. K. Phanivong, and D. S. Callaway, “Customer- and network-aware decentralized EV charging control,” in Proceedings of the Power System Computation Conference, Dublin, Ireland, Jun. 11-15, 2018.
[C4] M. Liu, P. K. Phanivong, and D. S. Callaway “Electric vehicle charging control in residential distribution network: A decentralized realization,” in Proceedings of the IEEE Conference on Decision and Control, Melbourne, Australia, Dec. 12-15, 2017.
[C3] M. Liu and Y. Shi “Optimal control of aggregated heterogeneous thermostatically controlled loads for regulation services,” in Proceedings of the IEEE Conference on Decision and Control, Osaka, Japan, December 15-18, 2015.
[C2] M. Liu and Y. Shi “Distributed model predictive control of thermostatically controlled appliances for providing balancing service,” in Proceedings of the IEEE Conference on Decision and Control, Los Angeles, CA, USA, December 15-17, 2014.
[C1] M. Liu, and Y. Shi, “An energy efficient optimal operation strategy design for CCHP systems,” in Proceedings of CSME International Congress, Winnipeg, MB, Canada, June 4-6, 2012.
Technical Reports:
[T2] T. Lipman, D. Callaway, A. Von Meier, E. Ratnam, M. Liu, and P. Phillippe, “Opportunities for improved grid performance through controlled PEV charging,” prepared for California Energy Commission Award EPIC-15-013, Jun. 2017.
[T1] T. Lipman, D. Callaway, P. Phillippe, E. Ratnam, M. Liu, and A. Ostfeld, “Functional specifications for grid communications for improved grid performance,” prepared for California Energy Commission Award EPIC-15-013, Feb. 2017.
Poster Presentations:
[P2] M. Liu and Y. Shi, “Modelling and control in demand response,” in IESVic Alumni Workshop, Victoria, BC, Canada, 2015.
[P1] M. Liu and Y. Shi, “New optimal operation strategy for CCHP systems,” 4th Canada and China Clean Energy Conference: Sustainable Transportation, Victoria, April 29-30, 2013.