Underlined Names: ongoing and past students or postdocs under my supervision.

*: Corresponding author.

Journal

In press
  • F. Qiu, Y. Zhang, R. Yao, P. Du, “Power system restoration with renewable participation,” IEEE Trans. Sustainable Energy, in press, 2023. [IEEE] [Google]
  • T. Hong, Y. Zhang, J. Liu, D. Zhao, J. Xiong, “Distributed data-driven optimization for voltage regulation in distribution systems,” IEEE Trans. Power Systems, in press, 2023. [IEEE] [Google]
2023
  • Y. Zhang, C. Chen, T. Hong, B. Cui, Z. Xu, B. Chen, F. Qiu, “Robust trajectory-constrained frequency control for microgrids considering model linearization error,” Applied Energy, vol. 333, no. 120559, pp. 1–16, 2023. [arXiv][Elsevier] [Google]
  • J. Liu, Y. Zhang*, A. Conejo, F. Qiu, “Ensuring transient stability with guaranteed region of attraction in DC microgrids,” IEEE Trans. Power Syst., vol. 38, no. 1, pp. 681–691, 2023. [IEEE] [Google]
2022
  • Y. Zhang, J. Liu, F. Qiu, T. Hong, R. Yao, “Deep active learning for solvability prediction in power systems,”J. Mod. Power Syst. Clean Energy, vol. 10, no. 6, pp. 1773–1777, 2022. [arXiv] [IEEE] [Google]
  • H. Cui, Y. Zhang, K. Tomsovic, F. Li, “Power electronics-enabled cyber-physical power systems: a review on modeling, simulation, and cybersecurity,” WIRE Energy and Environment, vol. 11, no. 6, pp. 1–22, 2022. [Wiley] [Google]
  • Y. Zhang, H. Cui, J. Liu, F. Qiu, T. Hong, R. Yao, F. Li, “Encoding frequency constraints in preventive unit commitment using deep learning with region-of-interest active sampling,” IEEE Trans. Power Syst., vol.37, no. 3, pp. 1942–1955. [arXiv] [IEEE] [Google]
  • T. Hong, Y. Zhang, “Data-driven optimization framework for voltage regulation in distribution systems,” IEEE Trans. Power Delivery, vol. 37, no. 2, pp. 1344–1347, 2022. [IEEE] [Google]
  • Y. Zhang, F. Qiu, T. Hong, Z. Wang, F. Li, “Hybrid imitation learning for real-time service restoration in resilient distribution systems,” IEEE Trans. Ind. Informat., vol. 18, no. 3, pp. 2089–2099, 2022. [arXiv][IEEE][Open-source Toolkit: IntelliHealer] [Google]
  • T. Hong, D. Zhao, Y. Zhang*, Z. Wang, “A bilevel voltage regulation operation for distribution systems with selfoperated microgrids,” IEEE Trans. Smart Grid, vol. 13, no. 2, pp. 1238–1248, 2022. [IEEE] [Google]
  • S. Ma, Y. Li, L. Du, J.Wu, Y. Zhou, Y. Zhang, T. Xu, “Programmable intrusion detection for distributed energy resources in cyber-physical networked microgrids,” Applied Energy, vol. 306, no. 118056, pp. 1–11, 2022. [ELSEVIER] [Google]
2021
  • W. Ju, H. Saravia, N. Nayak, W. Yao, Y. Zhang, Q. Shi, F. Ye, “Online detection of low-quality synchrophasor data considering frequency similarity,” IEEE Trans. Power Delivery, vol. 36, no. 6, pp. 3988–3991, 2021. [arXiv][IEEE][Google]
  • S. Morovati, Y. Zhang, S. M. Djouadi, K. Tomsovic, A. Wintenberg and M. Olama, “Robust output feedback control design for inertia emulation by wind turbine generators,” IEEE Trans. Power Syst., vol. 36, no. 6, pp. 5056–5067, 2021. [IEEE] [Google]
  • T. Hong, D. Zhao, Y. Zhang, R. Yao, F. Qiu, “Thermal overloading risk mitigation with a semi-analytical probabilistic model on branch current,” IEEE Trans. Power Syst., vol. 36, no. 4, pp. 3384–3393, 2021. [IEEE] [Google]
  • B. Park, Y. Zhang, M. Olama, T. Kuruganti, “Model-free control for inertia emulation and frequency response support of microgrids,” Electric Power Syst. Research, vol.194, pp. 1–10, 2021. [Elsevier] [Google]
  • T. Hong, D. Zhao, Y. Zhang*, “A relaxed PV bus model in linear power flow,” IEEE Trans. Power Deliv., vol. 36, no. 2, pp. 1249–1252, 2021. [IEEE] [Google]
  • Y. Zhang, C. Chen, G. Liu, T. Hong and F. Qiu, “Approximating trajectory constraints with machine learning – microgrid islanding with frequency constraints,” IEEE Trans. Power Syst., vol. 36, no. 2, pp. 1239–1249, 2021. [arXiv][IEEE][Paper Reported in Argonne Media] [Google]
2020
  • A. Shourangiz-Haghighi, M. Diazd, Y. Zhang, J. Li, Y. Yuan, R. Faraji, L. Ding, and J. M. Guerrero. “Developing more efficient wind turbines: a survey of control challenges and opportunities.” IEEE Ind. Electron. Mag., vol. 14, no. 4, pp. 53–64, 2020. [IEEE] [Google]
  • Y. Zhang, Y. Li, K. Tomsovic, S. Djouadi, M. Yue, “Review on set-theoretic methods for safety verification and control of power system,” IET Energy Syst. Integr., vol. 2, no. 3, pp. 226–234, 2020. [arXiv][IET] [Google]
  • F. Taousser, M. Olama, S. Djouadi, K. Tomsovic, Y. Zhang, Y. Xue, “Model predictive control for voltage restoration in microgrids using temporal logic specifications,” IET Energy Syst. Integr., vol. 2, no. 3, pp. 207–214, 2020. [IET][Google]
  • G. Liu, T. B. Ollis, Y. Zhang, T. Jiang, K. Tomsovic, “Robust microgrid scheduling with resiliency considerations,” IEEE Access, vol. 8, pp. 153169–153182, 2020. [IEEE] [Google]
  • T. Hong, D. Zhao, Y. Zhang, B. Cui, Y. Tian, “Optimal voltage reference assignment for droop based DER in distribution systems,” IEEE Trans. Smart Grid, vol. 11, no. 3, pp. 2357–2366, 2020. [IEEE] [Google]
  • J. Dong, M. M. Olama, T. Kuruganti, A. M. Melin, S. M. Djouadi, Y. Zhang, and Y. Xue. “Novel stochastic methods to predict short-term solar radiation and photovoltaic power,” Renewable Energy, vol. 145, pp. 333–346, 2020. [Elsevier][Google]
2019 and before
  • Y. Zhang, M. E. Raoufat, K. Tomsovic, and S. M. Djouadi, “Set theory-based safety supervisory control for wind turbines to ensure adequate frequency response,” IEEE Trans. Power Syst., vol. 34, no. 1, pp. 680–692, 2019. [arXiv][IEEE][Google]
  • Y. Zhang, A. Melin, S. M. Djouadi, M. M. Olama, and K. Tomsovic, “Provision for guaranteed inertial response in diesel-wind system using model reference control,” IEEE Trans. Power Syst., vol. 33, no. 6, pp. 6557–6568, 2018. [arXiv][IEEE][Paper Reported in UTK Media] [Google]
  • Y. Zhang, K. Tomsovic, S. Djouadi, and H. Pulgar-Painemal, “Hybrid controller for wind turbine generators to ensure adequate frequency response in power networks,” IEEE J. Emerg. Sel. Topics Circuits Syst., vol. 7, no. 3, pp. 359–370. [arXiv] [IEEE] [Google]

Conference

2022
  • Y. Zhang, Y Li, F. Qiu, T. Hong, M. Larry, “Learning frequency nadir from multi-fidelity data for dynamic secure microgrid islanding,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Denver, CO, USA, Jul. 17–21, 2022, pp. 1–5. [IEEE] [Google]
  • H. Cui, Y. Zhang, “Andes-gym: a versatile environment for deep reinforcement learning in power systems,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Denver, CO, USA, Jul. 17–21, 2022, pp. 1–5. Best paper award [Open-source Toolkit: Andes-gym] [Arxiv] [IEEE] [Google]
  • A. Nandakumar, Y. Li, D. Zhao, Y. Zhang, T. Hong, “Sparse identification-enabled data-driven modeling for nonlinear dynamics of microgrids,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Denver, CO, USA, Jul. 17–21, 2022, pp. 1–5. [IEEE] [Google]
  • Y. Liu, Y. Zhang, K. Sun, X. Zhao, “Differential transformation based adaptive switching control of wind turbines,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Denver, CO, USA, Jul. 17–21, 2022, pp. 1–5. [arXiv] [IEEE] [Google]
2021
  • Z. Xu, Y. Zhang, “Provably correct controller synthesis of switched sochastic systems with metric temporal logic specifications: a case study on power systems,” in Proc. IEEE Conf. Decis. Control (CDC), Austin, TX, USA, Dec. 13–17, 2021, pp. 1–6. [IEEE] [arXiv] [Google]
  • J. Liu, J. He, B. Chen, Y. Zhang, F. Qiu, “Grid transient stability improvement with increased PV availability: a PV inverter reliability enhancement approach,” in Proc. IEEE Int. Symp. Power Electron. Distrib. Gener. Syst. (PEDG), Virtual, Jun. 28–Jul.1, 2021, pp. 1–6. [IEEE] [Google]
  • Y. Li, Y. Zhang, M. Yue, “Scalable distributed reachability analysis for cyber-physical networked microgrids with communication latency,” in Proc. IEEE Transp. Electrif. Conf. Expo., Chicago, IL, USA, Jun. 21–25, 2021, pp. 1-5. [IEEE] [Google]
  • Y. Li, D. Huang, Y. Zhang, M. Yue, “Resilience analysis of cyber-physical networked microgrids with communication latency,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Virtual, Jul.26–29, 2021, pp. 1-5. [IEEE] [Google]
2020
  • G. Liu, M. S. Chinthavali, N. Stenvig, X. Li, T. Jiang, Y. Zhang, and K. Tomsovic, “Resilient microgrid scheduling considering multi-level load priorities,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Virtual, Aug. 02–06, 2020, pp. 1-5. [IEEE] [Google]
  • B. Park, Y. Zhang, M. M. Olama, and T. Kuruganti, “A Model-free frequency control approach for diesel-wind powered microgrids,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Virtual, Aug. 02–06, 2020, pp. 1-5. [IEEE] [Google]
  • J. Luo, S. M. Djouadi, M. M. Olama, and Y. Zhang, “Determining the reaction time for triggering supportive control actions to guarantee adequate frequency response in smart grids,” in Proc. Spring Simulation Conference (SpringSim), Virtual, May 18, 2020, pp. 1-12. [IEEE] [Google]
  • F. Taousser, M. Olama, S. Djouadi, Y. Zhang, Y. Xue, B. Ollis, K. Tomsovic, “Voltage restoration in microgrids using temporal logic specifications,” Proc. IEEE Power Energy Soc. Innov. Smart Grid Technol. (ISGT), Washington, DC, USA, Feb. 17–20, 2020, pp. 1–5. [IEEE] [Google]
2019
  • G. Liu, T. Ollis, N. Stenvig, Y. Xu, Y. Zhang, K. Tomsovic, “Robust scheduling of microgrids with resiliency constraints,” in Proc. IEEE Power Energy Soc. Gen. Meeting, Atlanta, GA, USA, Aug. 04–08, 2019, pp. 1-5. [IEEE] [Google]
  • Y. Zhang, F. Taousser, M. Olama, S. Djouadi, Y. Xue, B. Ollis, K. Tomsovic, “Secondary voltage control via demandside energy storage with temporal logic specifications,” in Proc. IEEE Power Energy Soc. Innov. Smart Grid Technol. (ISGT), Washington, DC, USA, Feb. 18–21, 2019, pp. 1–5. [IEEE] [Google]
2018
  • Y. Zhang, M. Olama, A. Melin, Y. Xue, S. Djouadi, and K. Tomsovic, “Synthesizing distributed energy resources in microgrids with temporal logic specifications,” in Proc. IEEE Int. Symp. Power Electron. Distrib. Gener. Syst. (PEDG), Charlotte, NC, USA, Jun. 25–28, 2018, pp. 1–7. [IEEE] [Arxiv] [Google]
  • Bin Wang, Y. Zhang, Kai Sun, and K. Tomsovic, “Quantifying the synthetic inertia and load-damping effect of a converter-interfaced power source,” in Proc. IEEE Int. Energy Conf. (ENERGYCON), Limassol, Cyprus, Jun. 03– 07, 2018, pp. 1–7. [IEEE] [Google]
  • Y. Zhang, A. Melin, M. Olama, S. Djouadi, J. Dong, and K. Tomsovic, “Battery energy storage scheduling for optimal load variance minimization,” in Proc. IEEE Power Energy Soc. Innov. Smart Grid Technol. Conf. (ISGT), Washington, DC, USA, Feb. 19–22, 2018, pp. 1–5. [IEEE] [Arxiv] [Google]
2017 and before
  • M. M. Olama, A. M. Melin, J. Dong, S. M. Djouadi, and Y. Zhang, “Stochastic short-term high-resolution prediction of solar irradiance and photovoltaic power output,” in Proc. North American Power Symp. (NAPS), Morgantown, WV, USA, Sep. 17–19, 2017, pp. 1–5. [IEEE] [Google]
  • Y. Zhang, A. Melin, S. Djouadi, and M. Olama, “Performance guaranteed inertia emulation for diesel-wind system feed microgrid via model reference control,” in Proc. IEEE Power Energy Soc. Innov. Smart Grid Technol. Conf. (ISGT), Washington, DC, USA, Apr. 23–26, 2017, pp. 1–5. [IEEE] [Arxiv] [Google]
  • F. Wang, Y. Zhang, and X. Ma, “Small signal transfer functions modeling and analysis for open loop KY converter,” in Proc. IEEE Int. Symp. Ind. Electron. (ISIE), Taipei, Taiwan, China, 2013, pp. 1–4. [IEEE] [Google]

Book Chapter

  • Y. Zhang, M. E. Raoufat, and K. Tomsovic, “Remedial Action Schemes and Defense Systems,” in Smart Grid Handbook, Chichester, UK: John Wiley & Sons, Ltd, 2016. [Wiley] [ResearchGate] [Google]

Report

  • Abhishek Somani, Sohom Datta, Slaven Kincic, Vishvas H Chalishazar, Bharat GNVSR Vyakaranam, Nader A Samaan, Alison HA Colotelo, Yichen Zhang, Vladimir Koritarov, Timothy Mcjunkin, Thomas Mosier, Joshua Novacheck, Michael Emmanuel, Marty Schwarz, Larry Markel, Christopher O’Reilley, “Hydropower’s Contributions to Grid Reliability and Resilience,” Pacific Northwest National Lab., Richland, WA USA, Tech. Rep. PNNL-30554, 2021. [osti.gov][Google]