Journal Papers

[1]    Y. Zhang, X. Wang, J. Wang, and Y. Zhang, Deep reinforcement learning based volt-VAR optimization in smart distribution systems, IEEE Transactions on Smart Grid, vol.12, no.1, pp.361-371, Jan. 2021.

[2]    Y. Zhang, J. Wang, and B. Chen, Detecting false data injection attacks in smart grids: a semi-supervised deep learning approach, IEEE Transactions on Smart Grid, vol.12, no.1, pp. 623-634, Jan. 2021.

[3]    Y. Zhang, J. Wang, and M. Khodayar, Graph-based faulted line Identification using micro-PMU data in distribution systems, IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 3982-3992, Sept. 2020.

[4]    Y. Zhang and J. Wang, Towards highly efficient state estimation with nonlinear measurements in distribution systems, IEEE Transactions on Power Systems, vol. 35, no. 3, pp. 2471-2474, May 2020. 

[5]    Y. Zhang, J. Wang, and Z. Li, Interval state estimation with uncertainty of distributed generation and line parameters in unbalanced distribution systems, IEEE Transactions on Power Systems, vol. 35, no. 1, pp. 762 -772, Jan. 2020.

[6]    Y. Zhang, J. Wang, and J. Liu, Attack identification and correction for PMU GPS spoofing in unbalanced distribution systems, IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 762-773, Jan. 2020. 

[7]    Y. Zhang, J. Liang, Z. Yun, and X. Dong, A new fault-location algorithm for series-compensated double-circuit transmission lines based on the distributed parameter model, IEEE Transactions on Power Delivery. vol. 32, no. 6, pp. 2398-2407, Dec. 2017. 

[8]    Y. Zhang, J. Wang, and Z. Li, Uncertainty modeling of distributed energy resources: techniques and challenges, Current Sustainable/ Renewable Energy Report, vol. 6, no. 2, pp. 42–51, Jun. 2019.

[9]    Y. Chen, Y. Y, and Y. Zhang, A Robust SOCP-based state estimation in integrated electricity-heat system, IEEE Transactions on Smart Grid, vol.12, no.1, pp.810-820, Jan. 2021.

[10]  M. Cui, M. Khodayar, C. Chen, X. Wang, and Y. Zhang, Deep learning based time-varying parameter identification for system-wide load modeling, IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6102-6114, Nov. 2019.

[11]   M. Khodayar, Y. Zhang, J. Wang, and Z. Wang, Deep generative graph distribution learning for synthetic power grids, IEEE Power Engineering Letters. (Under the 2nd review)

[12]  Y. Zhang, J. Liang, Z. Yun, and F. Zhang, Distributed parameter model based single-line fault location algorithm for series-compensated double-circuit transmission lines, Automation of Electric Power Systems, 38(9), 61-68, 2017. 

Conference Papers

[1] Y. Zhang, Y. Chen, M. Yue, J. Wang.  Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference

[2] Y. Zhang, J. Wang, and Z. Li,Interval state estimation with measurement and network parameter uncertainty in unbalanced distribution systems. 2019 IEEE Power Engineering Society General Meeting, GA, Atlanta, pp. 1-5.

[3] Y. Zhang, and J. Liang, Mutual impedance parameter modeling and accurate location algorithm of angled space crossed transmission lines, 2016 China International Conference on Electricity Distribution (CICED), Xi'an, 2016, pp. 1-6.

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