Selected Publications on Energy Systems and Smart Grids


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Optimization and Data Analytics
Our current research focuses on stochastic aspects of power systems that arise in renewable integration, measurement noise, probabilistic events.

  1. Weisi Deng, Yuting Ji, and Lang Tong
    Probabilistic forecasting and simulation of electricity markets via online dictionary learning
    Proc the 50th Hawaii International Conf on System Sciences, January 4-7, 2017.
    Best paper award. See an earlier version on arXiv.

  2. Ye Guo, Lang Tong, Wenchuan Wu, Boming Zhang, Hongbin Sun
    Coordinated multi-area economic dispatch via critical region projection
    IEEE Transactions on Power Systems, scheduled to appear in 2017.
    See an earlier version on arXiv.

  3. Y. Ji, L. Tong, and R. J. Thomas
    Probabilistic forecast of real-time LMP and network congestion
    IEEE Transactions on Power Systems, scheduled to appear in 2017.
    See an earlier version on arXiv.

  4. Y. Ji, T. Zheng, and L. Tong,
    Stochastic interchange scheduling in the real-time electricity market
    IEEE Transactions on Power Systems,scheduled to appear in 2017.
    See an earlier version on arXiv.

  5. T. Routtenberg, Y. Xie, R. M. Willett, and L. Tong
    PMU based detection of imbalance in three phase power systems
    IEEE Transactions on Power Systems.vol. 30, no. 4, pp. 1966-1976, 2015

  6. S. Vakili, L. Tong, and Q. Zhao
    Bayesian quickest short-term voltage instability detection in power systems
    Proc. IEEE Conf. Decision and Control (CDC) Dec, 2015

  7. L. Jia, J. Kim, R. J. Thomas, and L. Tong
    Impact of data quality on real-time locational marginal price
    IEEE Transactions on Power Systems,vol. 29, no. 2, pp. 627-636, March 2014

Optimization, Learning, and Pricing in Distribution Systems
We focus on the integration of distributed energy resources such as solar and storage in distribution systems.

  1. Y. Xu and L. Tong
    Optimal operation and economic value of energy storage at consumer locations
    to appear in IEEE Transactions on Automatic Control

  2. D. Munoz-Alvarez and L. Tong
    On the efficiency of connection charges under renewable integration in distribution systems
    Proc. 2016 Information Theory and Applications Workshop,Feb., 2016.

  3. L. Jia and Lang Tong
    Renewables and storage in distribution systems: centralized vs. decentralized Integration
    IEEE Journal on Selected Areas in Communications,, vol. 34, no. 3, pp. 665-674, 2016.

  4. L. Jia and Lang Tong
    Dynamic pricing and distributed energy management for demand response
    IEEE Transactions on Smart Grid,, vol. 7, no. 2, pp. 1128-1136, 2016.

  5. Z. Yu, L. Jia, M. Murphy-Hoye, A. Pratt, and L. Tong
    Modeling and stochastic control for home energy management,
    IEEE Trans. Smart Grid, vol. 4, no. 4, December, 2013

  6. Liyan Jia, Qing Zhao and Lang Tong
    Retail pricing for stochastic demand with unknown parameters: an online machine learning approach
    2013 Allerton Conference on Communication, Control and Computing, Oct., 2013.
    See also a related work Online learning and optimization of jump Markov models.

Electrical Vehicles Charging Systems:
Our work focuses on developing energy management systems for the large scale charging of electric vehicles. We are particularly interested in exploiting renewable resources for EV charging and the related market solutions.

  1. S. Li, L. Tong, J. Xing, and Y. Zhou
    The market for electric vehicles: indirect network effects and policy impacts
    to appear in Journal of the Association of Environmental and Resource Economists 2017

  2. Y. Xu, F. Pan, and L. Tong
    Dynamic scheduling for charging electric vehicles: a priority rule
    to appear in IEEE Transactions on Automatic Control,, March, 2017.

  3. Z. Yu, S. Li, and L. Tong
    Market dynamics and indirect network effects in electric vehicle diffusion
    Transportation Research Part D, vol. 47, pp. 336-356, August 2016.

  4. Z. Yu, S. Chen, and L. Tong
    An intelligent energy management systems for large scale charging of electric vehicles
    CSEE Journal of Power and Energy Systems,, vol. 2, no. 1, pp. 47-53, March, 2016.

  5. Z. Yu, Y. Xu, and L. Tong
    Large scale charging of electric vehicles: a multi-armed bandit approach
    Proc. 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton),, Sept., 2015.
    See also the arXived full paper

  6. Shiyao Chen, Ting He, and Lang Tong
    Optimal deadline scheduling with commitment
    2011 Allerton Conference on Communication, Control and Computing, Oct., 2011.

Cyber Physical Security of Power Systems
We are interested in cyber physical security of power grid. In particular, we investigate various attack mechanisms and counter measures of power system state estimation, real-time price of electricity, and real-time economic dispatch.

  1. Jinsub Kim, Lang Tong, and Robert J. Thomas
    Subspace methods for data attack on state estimation: A data driven approach
    IEEE Transactions on Signal Processing, vol. 63, no. 5, Mar, 2015

  2. Jinsub Kim, Lang Tong, and Robert J. Thomas
    Dynamic attacks on power systems economic dispatch
    2014 Asilomar Conference on Signals, Systems, and Computers November 2014.

  3. Jinsub Kim, Lang Tong, and Robert J. Thomas
    Data framing attack on state estimation
    IEEE Journal on Selected Areas in Communications, vol. 32, no. 7, July 2014.

  4. Jinsub Kim and Lang Tong
    On topology attack of a smart grid: undetectable attacks and counter measures
    IEEE Journal on Selected Areas in Communications,vol. 31, no. 7, July 2013.

  5. Liyan Jia, Robert J. Thomas, and Lang Tong
    On the nonlinearity effects on malicious data attack on power system
    2012 Power and energy society general meeting, July, 2012.

  6. Oliver Kosut, Liyan Jia, Robert J. Thomas, and Lang Tong
    Malicious Data Attacks on the Smart Grid
    IEEE Trans. Smart Grid Special Issue on Cyber, Physical, and System Security for Smart Grid, vol. 2, no. 4, December, 2011