{"id":606,"date":"2021-04-27T16:18:55","date_gmt":"2021-04-27T16:18:55","guid":{"rendered":"https:\/\/www.ece.ucf.edu\/~qu\/?page_id=606"},"modified":"2021-07-12T20:31:05","modified_gmt":"2021-07-12T20:31:05","slug":"energise-project-publications","status":"publish","type":"page","link":"https:\/\/www.ece.ucf.edu\/~qu\/energise-project-publications\/","title":{"rendered":"ENERGISE Project Publications"},"content":{"rendered":"

Journals<\/strong><\/p>\n

    \n
  1. Y. Liu, Z. Qu, H. Xin and D. Gan, “Distributed Real-Time Optimal Power Flow Control in Smart Grid,” in IEEE Transactions on Power Systems<\/em>, vol. 32, no. 5, pp. 3403-3414, Sept. 2017, doi: 10.1109\/TPWRS.2016.2635683.<\/li>\n
  2. A. Gusrialdi and Z. Qu, “Distributed Estimation of All the Eigenvalues and Eigenvectors of Matrices Associated with Strongly Connected Digraphs,” in IEEE Control Systems Letters<\/em>, vol. 1, no. 2, pp. 328-333, Oct. 2017, doi: 10.1109\/LCSYS.2017.2717799.<\/li>\n
  3. A. Gusrialdi, Z. Qu and M. A. Simaan, “Distributed Scheduling and Cooperative Control for Charging of Electric Vehicles at Highway Service Stations,” in IEEE Transactions on Intelligent Transportation Systems<\/em>, vol. 18, no. 10, pp. 2713-2727, Oct. 2017, doi: 10.1109\/TITS.2017.2661958.<\/li>\n
  4. P. M. Baidya, and W. Sun, “Effective restoration strategies of interdependent power system and communication network,” The Journal of Engineering<\/em>, 2017(13), 1760-1764, Nov. 2017.<\/li>\n
  5. A. Golshani, W. Sun, Q. Zhou, Q. P. Zheng and J. Tong, “Two-Stage Adaptive Restoration Decision Support System for a Self-Healing Power Grid,” in IEEE Transactions on Industrial Informatics<\/em>, vol. 13, no. 6, pp. 2802-2812, Dec. 2017, doi: 10.1109\/TII.2017.2712147.<\/li>\n
  6. E. Dall\u2019Anese, S. S. Guggilam, A. Simonetto, Y. C. Chen and S. V. Dhople, “Optimal Regulation of Virtual Power Plants,” in IEEE Transactions on Power Systems<\/em>, vol. 33, no. 2, pp. 1868-1881, March 2018, doi: 10.1109\/TPWRS.2017.2741920.<\/li>\n
  7. H. V. Haghi and Z. Qu, “A Kernel-Based Predictive Model of EV Capacity for Distributed Voltage Control and Demand Response,” in IEEE Transactions on Smart Grid<\/em>, vol. 9, no. 4, pp. 3180-3190, July 2018, doi: 10.1109\/TSG.2016.2628367.<\/li>\n
  8. A. Gusrialdi, Z. Qu and M. A. Simaan, “Competitive Interaction Design of Cooperative Systems Against Attacks,” in IEEE Transactions on Automatic Control<\/em>, vol. 63, no. 9, pp. 3159-3166, Sept. 2018, doi: 10.1109\/TAC.2018.2793164.<\/li>\n
  9. A. Golshani, W. Sun, Q. Zhou, Q. P. Zheng, J. Wang and F. Qiu, “Coordination of Wind Farm and Pumped-Storage Hydro for a Self-Healing Power Grid,” in IEEE Transactions on Sustainable Energy<\/em>, vol. 9, no. 4, pp. 1910-1920, Oct. 2018, doi: 10.1109\/TSTE.2018.2819133.<\/li>\n
  10. W. Sun, N. Kadel, I. Alvarez-Fernandez, R. Roofegari, and A. Golshani, “Optimal Distribution System Restoration using PHEVs,” IET Smart Grid<\/em>, 2(1), 42-49, Oct. 2018.<\/li>\n
  11. A. Bernstein, C. Wang, E. Dall\u2019Anese, J. Le Boudec and C. Zhao, “Load Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models,” in IEEE Transactions on Power Systems<\/em>, vol. 33, no. 6, pp. 5832-5843, Nov. 2018, doi: 10.1109\/TPWRS.2018.2823277.<\/li>\n
  12. W. Sun, S. Ma, I. Alvarez-Fernandez, R. Roofegari, and A. Golshani, “Optimal Self-healing Strategy for Microgrid Islanding,” IET Smart Grid<\/em>, 1(4), 143-150, Dec. 2018.<\/li>\n
  13. A. Golshani, W. Sun, Q. Zhou, Q. P. Zheng and Y. Hou, “Incorporating Wind Energy in Power System Restoration Planning,” in IEEE Transactions on Smart Grid<\/em>, vol. 10, no. 1, pp. 16-28, Jan. 2019, doi: 10.1109\/TSG.2017.2729592.<\/li>\n
  14. A. Gusrialdi, Z. Qu and S. Hirche, “Distributed Link Removal Using Local Estimation of Network Topology,” in IEEE Transactions on Network Science and Engineering<\/em>, vol. 6, no. 3, pp. 280-292, 1 July-Sept. 2019, doi: 10.1109\/TNSE.2018.2813426.<\/li>\n
  15. W. Lin, C. Li, Z. Qu, and M. A. Simaan, “Distributed Formation Control with Open-Loop Nash Strategy,” Automatica,<\/em> vol.106, pp.266-273, Aug. 2019.<\/li>\n
  16. C. Li, Z. Qu, D. Qi, and F. Wang, “Distributed finite-time estimation of the bounds on algebraic connectivity for directed graphs,” Automatica<\/em>, vol. 107, pp. 289-295, Sept. 2019.<\/li>\n
  17. R. Roofegari Nejad and W. Sun, “Distributed Load Restoration in Unbalanced Active Distribution Systems,” in IEEE Transactions on Smart Grid<\/em>, vol. 10, no. 5, pp. 5759-5769, Sept. 2019, doi: 10.1109\/TSG.2019.2891419.<\/li>\n
  18. E. Weitenberg, Y. Jiang, C. Zhao, E. Mallada, C. De Persis and F. D\u00f6rfler, “Robust Decentralized Secondary Frequency Control in Power Systems: Merits and Tradeoffs,” in IEEE Transactions on Automatic Control<\/em>, vol. 64, no. 10, pp. 3967-3982, Oct. 2019, doi: 10.1109\/TAC.2018.2884650.<\/li>\n
  19. A. Golshani, W. Sun and K. Sun, “Real-Time Optimized Load Recovery Considering Frequency Constraints,” in IEEE Transactions on Power Systems<\/em>, vol. 34, no. 6, pp. 4204-4215, Nov. 2019, doi: 10.1109\/TPWRS.2019.2922653.<\/li>\n
  20. R. Roofegari nejad, W. Sun and A. Golshani, “Distributed Restoration for Integrated Transmission and Distribution Systems with DERs,” in IEEE Transactions on Power Systems<\/em>, vol. 34, no. 6, pp. 4964-4973, Nov. 2019, doi: 10.1109\/TPWRS.2019.2920123.<\/li>\n
  21. T. Shinohara, T. Namerikawa and Z. Qu, “Resilient Reinforcement in Secure State Estimation Against Sensor Attacks With A Priori Information,” in IEEE Transactions on Automatic Control<\/em>, vol. 64, no. 12, pp. 5024-5038, Dec. 2019, doi: 10.1109\/TAC.2019.2904438.<\/li>\n
  22. H. Panamtash, Q. Zhou, T. Hong, Z. Qu, K. Davis, \u201cA copula-based Bayesian method for probabilistic solar power forecasting,\u201d Solar Energy,<\/em> 196: 336-45, Jan. 2020.<\/li>\n
  23. R. Harvey, Z. Qu and T. Namerikawa, “An Optimized Input\/Output-Constrained Control Design with Application to Microgrid Operation,” in IEEE Control Systems Letters<\/em>, vol. 4, no. 2, pp. 367-372, April 2020, doi: 10.1109\/LCSYS.2019.2929159.<\/li>\n
  24. M. Song, W. Sun, Y. Wang, M. Shahidehpour, Z. Li and C. Gao, “Hierarchical Scheduling of Aggregated TCL Flexibility for Transactive Energy in Power Systems,” in IEEE Transactions on Smart Grid<\/em>, vol. 11, no. 3, pp. 2452-2463, May 2020, doi: 10.1109\/TSG.2019.2955852.<\/li>\n
  25. X. Zhou, Z. Liu, C. Zhao and L. Chen, “Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm,” in IEEE Transactions on Power Systems<\/em>, vol. 35, no. 3, pp. 2047-2058, May 2020, doi: 10.1109\/TPWRS.2019.2948978.<\/li>\n
  26. X. Zhou, E. Dall\u2019Anese and L. Chen, “Online Stochastic Optimization of Networked Distributed Energy Resources,” in IEEE Transactions on Automatic Control<\/em>, vol. 65, no. 6, pp. 2387-2401, June 2020, doi: 10.1109\/TAC.2019.2927925.<\/li>\n
  27. L. Wang, Q. Zhou and S. Jin, “Physics-guided Deep Learning for Power System State Estimation,” in Journal of Modern Power Systems and Clean Energy<\/em>, vol. 8, no. 4, pp. 607-615, July 2020, doi: 10.35833\/MPCE.2019.000565.<\/li>\n
  28. R.-P. Liu, S. Lei, C. Peng, W. Sun and Y. Hou, “Data-Based Resilience Enhancement Strategies for Electric-Gas Systems Against Sequential Extreme Weather Events,” in IEEE Transactions on Smart Grid<\/em>, vol. 11, no. 6, pp. 5383-5395, Nov. 2020, doi: 10.1109\/TSG.2020.3007479.<\/li>\n
  29. X. Zhou, Z. Liu, Y. Guo, C. Zhao, J. Huang and L. Chen, “Gradient-Based Multi-Area Distribution System State Estimation,” in IEEE Transactions on Smart Grid<\/em>, vol. 11, no. 6, pp. 5325-5338, Nov. 2020, doi: 10.1109\/TSG.2020.3003897.<\/li>\n
  30. G. Tian, Q. Zhou, R. Birari, J. Qi and Z. Qu, “A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems,” in IEEE Transactions on Neural Networks and Learning Systems<\/em>, vol. 31, no. 12, pp. 5497-5508, Dec. 2020, doi: 10.1109\/TNNLS.2020.2968486.<\/li>\n
  31. M. Song, W. Sun, M. Shahidehpour, M. Yan and C. Gao, “Multi-Time Scale Coordinated Control and Scheduling of Inverter-Based TCLs With Variable Wind Generation,” in IEEE Transactions on Sustainable Energy<\/em>, vol. 12, no. 1, pp. 46-57, Jan. 2021, doi: 10.1109\/TSTE.2020.2971271.<\/li>\n
  32. S. Fan, G. He, X. Zhou and M. Cui, “Online Optimization for Networked Distributed Energy Resources with Time-Coupling Constraints,” in IEEE Transactions on Smart Grid<\/em>, vol. 12, no. 1, pp. 251-267, Jan. 2021, doi: 10.1109\/TSG.2020.3010866.<\/li>\n
  33. M. Rayati, A. Sheikhi, A. M. Ranjbar and W. Sun, “Optimal Equilibrium Selection of Price-Maker Agents in Performance-Based Regulation Market,” in Journal of Modern Power Systems and Clean Energy<\/em>, doi: 10.35833\/MPCE.2019.000559.<\/li>\n
  34. X. Zhou, M. Farivar, Z. Liu, L. Chen and S. H. Low, “Reverse and Forward Engineering of Local Voltage Control in Distribution Networks,” in IEEE Transactions on Automatic Control<\/em>, vol. 66, no. 3, pp. 1116-1128, March 2021, doi: 10.1109\/TAC.2020.2994184.<\/li>\n
  35. Y. Xu, Z. Qu, R. Harvey and T. Namerikawa, “Data-Driven Wide-Area Control Design of Power System Using the Passivity Shortage Framework,” in IEEE Transactions on Power Systems<\/em>, vol. 36, no. 2, pp. 830-841, March 2021, doi: 10.1109\/TPWRS.2020.3009630.<\/li>\n
  36. X. Zhou, C. -Y. Chang, A. Bernstein, C. Zhao and L. Chen, “Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems,” in IEEE Control Systems Letters<\/em>, vol. 5, no. 6, pp. 1994-1999, Dec. 2021, doi: 10.1109\/LCSYS.2020.3044542.<\/li>\n
  37. S. Meng, R. Roofegari nejad and W. Sun, “Robust Distribution System Load Restoration with Time-Dependent Cold Load Pickup,” in IEEE Transactions on Power Systems<\/em>, doi: 10.1109\/TPWRS.2020.3048036.<\/li>\n
  38. S. Mahdavi, H. Panamtash, A. Dimitrovski and Q. Zhou, “Predictive Coordinated and Cooperative Voltage Control for Systems with High Penetration of PV,” in IEEE Transactions on Industry Applications<\/em>, doi: 10.1109\/TIA.2021.3064910.<\/li>\n<\/ol>\n

     <\/p>\n

    Conferences<\/strong><\/p>\n

      \n
    1. R. Harvey, Y. Xu, Z. Qu and T. Namerikawa, “Dissipativity-based design of local and wide-area DER controls for large-scale power systems with high penetration of renewables,” 2017 IEEE Conference on Control Technology and Applications (CCTA)<\/em>, Maui, HI, USA, 2017, pp. 2180-2187, doi: 10.1109\/CCTA.2017.8062775.<\/li>\n
    2. Y. Okawa, T. Namerikawa and Z. Qu, “Passivity-based stability analysis of dynamic electricity pricing with power flow,” 2017 IEEE 56th Annual Conference on Decision and Control (CDC)<\/em>, Melbourne, VIC, Australia, 2017, pp. 813-818, doi: 10.1109\/CDC.2017.8263760.<\/li>\n
    3. A. Gusrialdi, A. Chakrabortty and Z. Qu, “Distributed Learning of Mode Shapes in Power System Models,” 2018 IEEE Conference on Decision and Control (CDC)<\/em>, Miami, FL, USA, 2018, pp. 4002-4007, doi: 10.1109\/CDC.2018.8618949.<\/li>\n
    4. R. R. nejad and W. Sun, “Chance-constrained Service Restoration for Distribution Networks with Renewables,” 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)<\/em>, Boise, ID, USA, 2018, pp. 1-6, doi: 10.1109\/PMAPS.2018.8440520.<\/li>\n
    5. A. C. Melhorn and A. Dimitrovski, “Correlation between EVs and Other Loads in Probabilistic Load Flow for Distribution Systems,” 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)<\/em>, Boise, ID, USA, 2018, pp. 1-6, doi: 10.1109\/PMAPS.2018.8440435.<\/li>\n
    6. H. Panamtash and Q. Zhou, “Coherent Probabilistic Solar Power Forecasting,” 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)<\/em>, Boise, ID, USA, 2018, pp. 1-6, doi: 10.1109\/PMAPS.2018.8440483.<\/li>\n
    7. R. Sarkar and Z. Qu, “Restoration using Distributed Energy Resources for Resilient Power Distribution Networks,” 2018 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Portland, OR, 2018, pp. 1-5, doi: 10.1109\/PESGM.2018.8586564.<\/li>\n
    8. R. R. nG. ejad, A. Golshani and W. Sun, “Integrated Transmission and Distribution Systems Restoration with Distributed Generation Scheduling,” 2018 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Portland, OR, USA, 2018, pp. 1-5, doi: 10.1109\/PESGM.2018.8586657.<\/li>\n
    9. Tian, Q. Zhou and L. Du, “Deep Convolutional Neural Networks for Distribution System Fault Classification,”\u00a02018 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Portland, OR, USA, 2018, pp. 1-5, doi: 10.1109\/PESGM.2018.8586547.<\/li>\n
    10. O. Ceylan, A. Dimitrovski, M. Starke and K. Tomsovic, “A Novel Approach for Voltage Control in Electrical Power Distribution Systems,” 2018 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Portland, OR, USA, 2018, pp. 1-5, doi: 10.1109\/PESGM.2018.8586421.<\/li>\n
    11. R. Harvey, Z. Qu and T. Namerikawa, “Coordinated Optimal Control of Constrained DERs,” 2018 IEEE Conference on Control Technology and Applications (CCTA)<\/em>, Copenhagen, Denmark, 2018, pp. 224-229, doi: 10.1109\/CCTA.2018.8511494.<\/li>\n
    12. H. Wang and Z. Qu, “Narrowing Frequency Probability Density Function for Achieving Minimized Uncertainties in Power Systems Operation \u2013 a Stochastic Distribution Control Perspective,” 2018 IEEE Conference on Control Technology and Applications (CCTA)<\/em>, Copenhagen, Denmark, 2018, pp. 211-216, doi: 10.1109\/CCTA.2018.8511533.<\/li>\n
    13. K. Muto, T. Namerikawa and Z. Qu, “Passivity-Short-based Stability Analysis on Electricity Market Trading System Considering Negative Price,” 2018 IEEE Conference on Control Technology and Applications (CCTA)<\/em>, Copenhagen, Denmark, 2018, pp. 418-423, doi: 10.1109\/CCTA.2018.8511465.<\/li>\n
    14. X.Chen, C. Zhao and N. Li, “Distributed Automatic Load-Frequency Control with Optimality in Power Systems,” 2018 IEEE Conference on Control Technology and Applications (CCTA)<\/em>, Copenhagen, Denmark, 2018, pp. 24-31, doi: 10.1109\/CCTA.2018.8511543.<\/li>\n
    15. M. Yoshihara, T. Namerikawa and Z. Qu, “Non-Cooperative Optimization of Charging Scheduling of Electric Vehicle via Stackelberg Game,” 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)<\/em>, Nara, Japan, 2018, pp. 1658-1663, doi: 10.23919\/SICE.2018.8492699.<\/li>\n
    16. M. Rathbun, Y. Xu, R. R. nejad, Z. Qu, and W. Sun, “Impact Studies and Cooperative Voltage Control for High PV Penetration,” 10th<\/sup> IFAC Symposium on Control of Power and Energy Systems<\/em>, Sep 04-06, 2018, Tokyo, Japan.<\/li>\n
    17. X. Zhou, Z. Liu, W. Wang, C. Zhao, F. Ding and L. Chen, “Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids,” 2019 American Control Conference (ACC)<\/em>, Philadelphia, PA, USA, 2019, pp. 5563-5569, doi: 10.23919\/ACC.2019.8814670.<\/li>\n
    18. H. Haggi, R. R. nejad, M. Song and W. Sun, “A Review of Smart Grid Restoration to Enhance Cyber-Physical System Resilience,” 2019 IEEE Innovative Smart Grid Technologies – Asia (ISGT Asia)<\/em>, Chengdu, China, 2019, pp. 4008-4013, doi: 10.1109\/ISGT-Asia.2019.8881730.<\/li>\n
    19. S. Talebi, M. A. Simaan and Z. Qu, “Decision-Making in Complex Dynamical Systems of Systems With One Opposing Subsystem,” 2019 18th European Control Conference (ECC)<\/em>, Naples, Italy, 2019, pp. 2789-2795, doi: 10.23919\/ECC.2019.8796292.<\/li>\n
    20. E. Weitenberg, Y. Jiang, C. Zhao, E. Mallada, F. D\u00f6rfler and C. De Persis, “Robust decentralized frequency control: A leaky integrator approach,” 2018 European Control Conference (ECC)<\/em>, Limassol, Cyprus, 2018, pp. 764-769, doi: 10.23919\/ECC.2018.8550060.<\/li>\n
    21. S. Mahdavi and A. Dimitrovski, “Coordinated Voltage Regulator Control in Systems with High-level Penetration of Distributed Energy Resources,” 2019 North American Power Symposium (NAPS)<\/em>, Wichita, KS, USA, 2019, pp. 1-6, doi: 10.1109\/NAPS46351.2019.9000253.<\/li>\n
    22. S. Talebi, M. A. Simaan and Z. Qu, “Cooperative Design of Systems of Systems Against Attack on One Subsystem,” 2019 IEEE 58th Conference on Decision and Control (CDC)<\/em>, Nice, France, 2019, pp. 7313-7318, doi: 10.1109\/CDC40024.2019.9029565.<\/li>\n
    23. L. Wang and Q. Zhou, “Physics-Guided Deep Learning for Time-Series State Estimation Against False Data Injection Attacks,” 2019 North American Power Symposium (NAPS)<\/em>, Wichita, KS, USA, 2019, pp. 1-6, doi: 10.1109\/NAPS46351.2019.9000305.<\/li>\n
    24. E. Elliott, N. Shanklin, S. Zehtabian, Q. Zhou and D. Turgut, “Peer-to-Peer Energy Trading and Grid Impact Studies in Smart Communities,” 2020 International Conference on Computing, Networking and Communications (ICNC)<\/em>, Big Island, HI, USA, 2020, pp. 674-678, doi: 10.1109\/ICNC47757.2020.9049665.<\/li>\n
    25. P. M. Baidya, W. Sun and A. Perkins, “A survey on social media to enhance the cyber-physical-social resilience of smart grid,” 8th Renewable Power Generation Conference (RPG 2019)<\/em>, Shanghai, China, 2019, pp. 1-6, doi: 10.1049\/cp.2019.0602.<\/li>\n
    26. H. Haggi, W. Sun and J. Qi, “Multi-Objective PMU Allocation for Resilient Power System Monitoring,” 2020 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109\/PESGM41954.2020.9281963.<\/li>\n
    27. J. Xie, I. Alvarez-Fernandez and W. Sun, “A Review of Machine Learning Applications in Power System Resilience,” 2020 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109\/PESGM41954.2020.9282137.<\/li>\n
    28. Y. Guo, X. Zhou, C. Zhao, Y. Chen, T. Summers and L. Chen, “Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback,” 2020 American Control Conference (ACC)<\/em>, Denver, CO, USA, 2020, pp. 3148-3155, doi: 10.23919\/ACC45564.2020.9147992.<\/li>\n
    29. S. Mahdavi and A. Dimitrovski, “Integrated Coordination of Voltage Regulators with Distributed Cooperative Inverter Control in Systems with High Penetration of DGs,” 2020 IEEE Texas Power and Energy Conference (TPEC)<\/em>, College Station, TX, USA, 2020, pp. 1-6, doi: 10.1109\/TPEC48276.2020.9042560.<\/li>\n
    30. A. Gusrialdi, Y. Xu, Z. Qu and M. A. Simaan, “Resilient Cooperative Voltage Control for Distribution Network with High Penetration Distributed Energy Resources,” 2020 European Control Conference (ECC)<\/em>, St. Petersburg, Russia, 2020, pp. 1533-1539, doi: 10.23919\/ECC51009.2020.9143684.<\/li>\n
    31. Y. Xu, Z. Qu and J. Qi, “State-Constrained Grid-Forming Inverter Control for Robust Operation of AC Microgrids,” 2020 European Control Conference (ECC)<\/em>, St. Petersburg, Russia, 2020, pp. 471-474, doi: 10.23919\/ECC51009.2020.9143845.<\/li>\n
    32. S. Mahdavi, H. Panamtash, A. Dimitrovski and Q. Zhou, “Predictive and Cooperative Voltage Control with Probabilistic Load and Solar Generation Forecasting,” 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)<\/em>, Liege, Belgium, 2020, pp. 1-6, doi: 10.1109\/PMAPS47429.2020.9183699.<\/li>\n
    33. G. Tian, S. Faddel, X. Jin and Q. Zhou, “Probabilistic Power Consumption Modeling for Commercial Buildings Using Logistic Regression Markov Chain,” 2020 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109\/PESGM41954.2020.9281751.<\/li>\n
    34. D. Grover, Y. P. Fallah, Q. Zhou and P. E. Ian LaHiff, “Data-Driven Modeling and Optimization of Building Energy Consumption: a Case Study,” 2020 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109\/PESGM41954.2020.9281663.<\/li>\n
    35. G. Tian, Y. Gu, X. Lu, D. Shi, Q. Zhou, Z. Wang, and J. Li, “Estimation Matrix Calibration of PMU Data-driven State Estimation Using Neural Network,” 2020 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109\/PESGM41954.2020.9282092.<\/li>\n
    36. A. Gusrialdi and Z. Qu, “Data-Driven Distributed Algorithms for Estimating Eigenvalues and Eigenvectors of Interconnected Dynamical Systems, ” 21st<\/sup> IFAC World Congress<\/em> (IFAC 2020), Berlin, Germany, 12-17 July, 2020.<\/li>\n
    37. C.-Y. Chang, X. Zhou and A. Bernstein, “Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids,” 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)<\/em>, Tempe, AZ, USA, 2020, pp. 1-6, doi: 10.1109\/SmartGridComm47815.2020.9302966.<\/li>\n
    38. X. Zhou, Y. Chen, Z. Liu, C. Zhao and L. Chen, “Multi-Level Optimal Power Flow Solver in Large Distribution Networks,” 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)<\/em>, Tempe, AZ, USA, 2020, pp. 1-6, doi: 10.1109\/SmartGridComm47815.2020.9303000.<\/li>\n
    39. Y. Chen, D. Matthews, S. Sadoyama and L. R. Roose, “A Data-Driven Method for Estimating Behind-the-Meter Photovoltaic Generation in Hawaii,” 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)<\/em>, Washington, DC, USA, 2021, pp. 1-5, doi: 10.1109\/ISGT49243.2021.9372214.<\/li>\n
    40. Y. Xu and Z. Qu, “A Novel State-Constrained Primary Control for Grid-Forming Inverters,” 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)<\/em>, Washington, DC, USA, 2021, pp. 1-5, doi: 10.1109\/ISGT49243.2021.9372231.<\/li>\n<\/ol>\n

       <\/p>\n

      Books and Book Chapters<\/strong><\/p>\n

        \n
      1. J. Stoustrup, A. Annaswamy, A. Chakrabortty, and Z. Qu, Smart Grid Control: An Overview and Research Opportunities, Springer, 2018, ISBN 978-3-319-98310-3.<\/li>\n
      2. A. Gusrialdi and Z. Qu, “Smart Grid Security: Attacks and Defenses,” in Smart Grid Control: An Overview and Research Opportunities<\/em>, J. Stoustrup, A. Annaswamy, A. Chakrabortty, and Z. Qu (Eds.), Springer Verlag, 2018.<\/li>\n
      3. A. Gusrialdi and Z. Qu, “Towards Resilient Operation of Smart Grid,” in Smart Grid Control: An Overview and Research Opportunities<\/em>, J. Stoustrup, A. Annaswamy, A. Chakrabortty, and Z. Qu (Eds.), Springer Verlag, 2018.<\/li>\n
      4. A. Annaswamy and Z. Qu, The Role of Control Systems Research in Smart Grids, A Whitepaper for IEEE Smart Grid R&D Committee, September 2018.<\/li>\n
      5. K. Sun, Y. Hou, W. Sun, and J. Qi, Power System Control under Cascading Failures: Understanding and Mitigation of Cascading Failures and System Restoration. Wiley-IEEE Press, Jan. 2019, ISBN: 978-1-119-28202-0.<\/li>\n
      6. A. Gusrialdi, Y. Xu, Z. Qu, and M. Simaan, “A Real-Time Big-Data Control-Theoretical Framework for Cyber-Physical-Human Systems,” in Computational Intelligence and Optimization Methods for Control Engineering<\/em>, M. J. Blondin, P. M. Pardalos, and J. S. Saez (Eds.), pp.149-172, Springer Verlag, 2019.<\/li>\n
      7. Y. Xu, W. Sun, and Z. Qu, \u201cRenewable Energy Integration and System Operation Challenge: Control and Optimization of Millions of Devices<\/a>,\u201d in\u00a0New Technologies for Power System Operation and Analysis<\/i>, Huaiguang Jiang, Yingchen Zhang, and Eduard Muljadi (Eds.), Elsevier Inc., 2020.<\/li>\n
      8. A. Gusrialdi and Z. Qu, \u201cResilient Hierarchical Networked Control Systems: Secure Controls for Critical Locations and at Edge,\u201d in Security and Resilience of Control Systems: Theory and Applications<\/em>, Q. Zhu and H. Ishii (Eds.), Lecture Notes on Control and Information Sciences., Springer Verlag, 2021.<\/li>\n<\/ol>\n

         <\/p>\n","protected":false},"excerpt":{"rendered":"Journals Y. Liu, Z. Qu, H. Xin and D. Gan, “Distributed Real-Time Optimal Power Flow Control in Smart Grid,” in IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3403-3414, Sept. 2017, doi: 10.1109\/TPWRS.2016.2635683. A. Gusrialdi and Z. Qu, “Distributed Estimation of All the Eigenvalues and Eigenvectors of Matrices Associated with Strongly Connected Digraphs,” […]","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-606","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/pages\/606","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/comments?post=606"}],"version-history":[{"count":6,"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/pages\/606\/revisions"}],"predecessor-version":[{"id":733,"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/pages\/606\/revisions\/733"}],"wp:attachment":[{"href":"https:\/\/www.ece.ucf.edu\/~qu\/wp-json\/wp\/v2\/media?parent=606"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}