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Estimation, control, and pricing in distribution systems

We focus on the integration of distributed energy resources such as solar and storage in distribution systems.

  1. K. Mestav, J. Luengo, and L. Tong
    Bayesian state estimation for unobservable distribution systems via deep learning
    IEEE Transactions on Power Systems, to appear in 2020
    See an earlier version on arXiv and the conference version at the 2018 IEEE PESGM.

  2. T. Sun, Lang Tong, and D. Feng
    On the dynamics of distributed energy adoption: equilibrium, stability, and limiting capacity
    IEEE Transactions on Automatic Control, January, 2020
    See an earlier version on arXiv and the conference version " Killing death spiral softly with a small connection charge" at the 2017 Allerton Conference.

  3. Daniel Munoz-Alvarez and Lang Tong
    On the efficiency of connection charges---Part I: a stochastic framework
    IEEE Transactions on Power Systems, vol 33, no. 4, July 2018.
    See earlier versions at arXiv

  4. Daniel Munoz-Alvarez and Lang Tong
    On the efficiency of connection charges---Part II: integration of distributed energy resources
    IEEE Transactions on Power Systems, vol 33, no. 4, July 2018.
    See earlier versions at arXiv

  5. Y. Xu and L. Tong
    Optimal operation and economic value of energy storage at consumer locations
    IEEE Transactions on Automatic Control, vol. 62, Issue 2, pp 792-807, 2017

  6. Z. Yu and L. Tong
    Demand response via large scale charging of electric vehicles
    IEEE PES General Meeting, 2016

  7. 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.
    See an earlier version on arXiv.

  8. 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.
    See an earlier version on arXiv.

  9. 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

  10. 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.