ENERGISE Project Publications

Journals

  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, vol. 32, no. 5, pp. 3403-3414, Sept. 2017, doi: 10.1109/TPWRS.2016.2635683.
  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, vol. 1, no. 2, pp. 328-333, Oct. 2017, doi: 10.1109/LCSYS.2017.2717799.
  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, vol. 18, no. 10, pp. 2713-2727, Oct. 2017, doi: 10.1109/TITS.2017.2661958.
  4. P. M. Baidya, and W. Sun, “Effective restoration strategies of interdependent power system and communication network,” The Journal of Engineering, 2017(13), 1760-1764, Nov. 2017.
  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, vol. 13, no. 6, pp. 2802-2812, Dec. 2017, doi: 10.1109/TII.2017.2712147.
  6. E. Dall’Anese, S. S. Guggilam, A. Simonetto, Y. C. Chen and S. V. Dhople, “Optimal Regulation of Virtual Power Plants,” in IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 1868-1881, March 2018, doi: 10.1109/TPWRS.2017.2741920.
  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, vol. 9, no. 4, pp. 3180-3190, July 2018, doi: 10.1109/TSG.2016.2628367.
  8. A. Gusrialdi, Z. Qu and M. A. Simaan, “Competitive Interaction Design of Cooperative Systems Against Attacks,” in IEEE Transactions on Automatic Control, vol. 63, no. 9, pp. 3159-3166, Sept. 2018, doi: 10.1109/TAC.2018.2793164.
  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, vol. 9, no. 4, pp. 1910-1920, Oct. 2018, doi: 10.1109/TSTE.2018.2819133.
  10. W. Sun, N. Kadel, I. Alvarez-Fernandez, R. Roofegari, and A. Golshani, “Optimal Distribution System Restoration using PHEVs,” IET Smart Grid, 2(1), 42-49, Oct. 2018.
  11. A. Bernstein, C. Wang, E. Dall’Anese, 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, vol. 33, no. 6, pp. 5832-5843, Nov. 2018, doi: 10.1109/TPWRS.2018.2823277.
  12. W. Sun, S. Ma, I. Alvarez-Fernandez, R. Roofegari, and A. Golshani, “Optimal Self-healing Strategy for Microgrid Islanding,” IET Smart Grid, 1(4), 143-150, Dec. 2018.
  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, vol. 10, no. 1, pp. 16-28, Jan. 2019, doi: 10.1109/TSG.2017.2729592.
  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, vol. 6, no. 3, pp. 280-292, 1 July-Sept. 2019, doi: 10.1109/TNSE.2018.2813426.
  15. W. Lin, C. Li, Z. Qu, and M. A. Simaan, “Distributed Formation Control with Open-Loop Nash Strategy,” Automatica, vol.106, pp.266-273, Aug. 2019.
  16. C. Li, Z. Qu, D. Qi, and F. Wang, “Distributed finite-time estimation of the bounds on algebraic connectivity for directed graphs,” Automatica, vol. 107, pp. 289-295, Sept. 2019.
  17. R. Roofegari Nejad and W. Sun, “Distributed Load Restoration in Unbalanced Active Distribution Systems,” in IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5759-5769, Sept. 2019, doi: 10.1109/TSG.2019.2891419.
  18. E. Weitenberg, Y. Jiang, C. Zhao, E. Mallada, C. De Persis and F. Dörfler, “Robust Decentralized Secondary Frequency Control in Power Systems: Merits and Tradeoffs,” in IEEE Transactions on Automatic Control, vol. 64, no. 10, pp. 3967-3982, Oct. 2019, doi: 10.1109/TAC.2018.2884650.
  19. A. Golshani, W. Sun and K. Sun, “Real-Time Optimized Load Recovery Considering Frequency Constraints,” in IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 4204-4215, Nov. 2019, doi: 10.1109/TPWRS.2019.2922653.
  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, vol. 34, no. 6, pp. 4964-4973, Nov. 2019, doi: 10.1109/TPWRS.2019.2920123.
  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, vol. 64, no. 12, pp. 5024-5038, Dec. 2019, doi: 10.1109/TAC.2019.2904438.
  22. H. Panamtash, Q. Zhou, T. Hong, Z. Qu, K. Davis, “A copula-based Bayesian method for probabilistic solar power forecasting,” Solar Energy, 196: 336-45, Jan. 2020.
  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, vol. 4, no. 2, pp. 367-372, April 2020, doi: 10.1109/LCSYS.2019.2929159.
  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, vol. 11, no. 3, pp. 2452-2463, May 2020, doi: 10.1109/TSG.2019.2955852.
  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, vol. 35, no. 3, pp. 2047-2058, May 2020, doi: 10.1109/TPWRS.2019.2948978.
  26. X. Zhou, E. Dall’Anese and L. Chen, “Online Stochastic Optimization of Networked Distributed Energy Resources,” in IEEE Transactions on Automatic Control, vol. 65, no. 6, pp. 2387-2401, June 2020, doi: 10.1109/TAC.2019.2927925.
  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, vol. 8, no. 4, pp. 607-615, July 2020, doi: 10.35833/MPCE.2019.000565.
  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, vol. 11, no. 6, pp. 5383-5395, Nov. 2020, doi: 10.1109/TSG.2020.3007479.
  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, vol. 11, no. 6, pp. 5325-5338, Nov. 2020, doi: 10.1109/TSG.2020.3003897.
  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, vol. 31, no. 12, pp. 5497-5508, Dec. 2020, doi: 10.1109/TNNLS.2020.2968486.
  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, vol. 12, no. 1, pp. 46-57, Jan. 2021, doi: 10.1109/TSTE.2020.2971271.
  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, vol. 12, no. 1, pp. 251-267, Jan. 2021, doi: 10.1109/TSG.2020.3010866.
  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, doi: 10.35833/MPCE.2019.000559.
  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, vol. 66, no. 3, pp. 1116-1128, March 2021, doi: 10.1109/TAC.2020.2994184.
  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, vol. 36, no. 2, pp. 830-841, March 2021, doi: 10.1109/TPWRS.2020.3009630.
  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, vol. 5, no. 6, pp. 1994-1999, Dec. 2021, doi: 10.1109/LCSYS.2020.3044542.
  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, doi: 10.1109/TPWRS.2020.3048036.
  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, doi: 10.1109/TIA.2021.3064910.

 

Conferences

  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), Maui, HI, USA, 2017, pp. 2180-2187, doi: 10.1109/CCTA.2017.8062775.
  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), Melbourne, VIC, Australia, 2017, pp. 813-818, doi: 10.1109/CDC.2017.8263760.
  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), Miami, FL, USA, 2018, pp. 4002-4007, doi: 10.1109/CDC.2018.8618949.
  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), Boise, ID, USA, 2018, pp. 1-6, doi: 10.1109/PMAPS.2018.8440520.
  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), Boise, ID, USA, 2018, pp. 1-6, doi: 10.1109/PMAPS.2018.8440435.
  6. H. Panamtash and Q. Zhou, “Coherent Probabilistic Solar Power Forecasting,” 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Boise, ID, USA, 2018, pp. 1-6, doi: 10.1109/PMAPS.2018.8440483.
  7. R. Sarkar and Z. Qu, “Restoration using Distributed Energy Resources for Resilient Power Distribution Networks,” 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5, doi: 10.1109/PESGM.2018.8586564.
  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), Portland, OR, USA, 2018, pp. 1-5, doi: 10.1109/PESGM.2018.8586657.
  9. Tian, Q. Zhou and L. Du, “Deep Convolutional Neural Networks for Distribution System Fault Classification,” 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, USA, 2018, pp. 1-5, doi: 10.1109/PESGM.2018.8586547.
  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), Portland, OR, USA, 2018, pp. 1-5, doi: 10.1109/PESGM.2018.8586421.
  11. R. Harvey, Z. Qu and T. Namerikawa, “Coordinated Optimal Control of Constrained DERs,” 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, 2018, pp. 224-229, doi: 10.1109/CCTA.2018.8511494.
  12. H. Wang and Z. Qu, “Narrowing Frequency Probability Density Function for Achieving Minimized Uncertainties in Power Systems Operation – a Stochastic Distribution Control Perspective,” 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, 2018, pp. 211-216, doi: 10.1109/CCTA.2018.8511533.
  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), Copenhagen, Denmark, 2018, pp. 418-423, doi: 10.1109/CCTA.2018.8511465.
  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), Copenhagen, Denmark, 2018, pp. 24-31, doi: 10.1109/CCTA.2018.8511543.
  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), Nara, Japan, 2018, pp. 1658-1663, doi: 10.23919/SICE.2018.8492699.
  16. M. Rathbun, Y. Xu, R. R. nejad, Z. Qu, and W. Sun, “Impact Studies and Cooperative Voltage Control for High PV Penetration,” 10th IFAC Symposium on Control of Power and Energy Systems, Sep 04-06, 2018, Tokyo, Japan.
  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), Philadelphia, PA, USA, 2019, pp. 5563-5569, doi: 10.23919/ACC.2019.8814670.
  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), Chengdu, China, 2019, pp. 4008-4013, doi: 10.1109/ISGT-Asia.2019.8881730.
  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), Naples, Italy, 2019, pp. 2789-2795, doi: 10.23919/ECC.2019.8796292.
  20. E. Weitenberg, Y. Jiang, C. Zhao, E. Mallada, F. Dörfler and C. De Persis, “Robust decentralized frequency control: A leaky integrator approach,” 2018 European Control Conference (ECC), Limassol, Cyprus, 2018, pp. 764-769, doi: 10.23919/ECC.2018.8550060.
  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), Wichita, KS, USA, 2019, pp. 1-6, doi: 10.1109/NAPS46351.2019.9000253.
  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), Nice, France, 2019, pp. 7313-7318, doi: 10.1109/CDC40024.2019.9029565.
  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), Wichita, KS, USA, 2019, pp. 1-6, doi: 10.1109/NAPS46351.2019.9000305.
  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), Big Island, HI, USA, 2020, pp. 674-678, doi: 10.1109/ICNC47757.2020.9049665.
  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), Shanghai, China, 2019, pp. 1-6, doi: 10.1049/cp.2019.0602.
  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), Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9281963.
  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), Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9282137.
  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), Denver, CO, USA, 2020, pp. 3148-3155, doi: 10.23919/ACC45564.2020.9147992.
  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), College Station, TX, USA, 2020, pp. 1-6, doi: 10.1109/TPEC48276.2020.9042560.
  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), St. Petersburg, Russia, 2020, pp. 1533-1539, doi: 10.23919/ECC51009.2020.9143684.
  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), St. Petersburg, Russia, 2020, pp. 471-474, doi: 10.23919/ECC51009.2020.9143845.
  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), Liege, Belgium, 2020, pp. 1-6, doi: 10.1109/PMAPS47429.2020.9183699.
  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), Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9281751.
  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), Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9281663.
  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), Montreal, QC, Canada, 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9282092.
  36. A. Gusrialdi and Z. Qu, “Data-Driven Distributed Algorithms for Estimating Eigenvalues and Eigenvectors of Interconnected Dynamical Systems, ” 21st IFAC World Congress (IFAC 2020), Berlin, Germany, 12-17 July, 2020.
  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), Tempe, AZ, USA, 2020, pp. 1-6, doi: 10.1109/SmartGridComm47815.2020.9302966.
  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), Tempe, AZ, USA, 2020, pp. 1-6, doi: 10.1109/SmartGridComm47815.2020.9303000.
  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), Washington, DC, USA, 2021, pp. 1-5, doi: 10.1109/ISGT49243.2021.9372214.
  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), Washington, DC, USA, 2021, pp. 1-5, doi: 10.1109/ISGT49243.2021.9372231.

 

Books and Book Chapters

  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.
  2. A. Gusrialdi and Z. Qu, “Smart Grid Security: Attacks and Defenses,” in Smart Grid Control: An Overview and Research Opportunities, J. Stoustrup, A. Annaswamy, A. Chakrabortty, and Z. Qu (Eds.), Springer Verlag, 2018.
  3. A. Gusrialdi and Z. Qu, “Towards Resilient Operation of Smart Grid,” in Smart Grid Control: An Overview and Research Opportunities, J. Stoustrup, A. Annaswamy, A. Chakrabortty, and Z. Qu (Eds.), Springer Verlag, 2018.
  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.
  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.
  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, M. J. Blondin, P. M. Pardalos, and J. S. Saez (Eds.), pp.149-172, Springer Verlag, 2019.
  7. Y. Xu, W. Sun, and Z. Qu, “Renewable Energy Integration and System Operation Challenge: Control and Optimization of Millions of Devices,” in New Technologies for Power System Operation and Analysis, Huaiguang Jiang, Yingchen Zhang, and Eduard Muljadi (Eds.), Elsevier Inc., 2020.
  8. A. Gusrialdi and Z. Qu, “Resilient Hierarchical Networked Control Systems: Secure Controls for Critical Locations and at Edge,” in Security and Resilience of Control Systems: Theory and Applications, Q. Zhu and H. Ishii (Eds.), Lecture Notes on Control and Information Sciences., Springer Verlag, 2021.