Pablo Baldivieso:
Position: Post-Doctoral Research Associate (PDRA), 2023.7-now
Research project: UKRI Future Leaders Fellowship – Digitalisation of Electrical Power and Energy Systems Operation, MR/W011360/1
Education: PhD in Robust Distributed Model Predictive Control, The University of Sheffield
Email: [email protected]
Selected Publications:
6. Monasterios, Pablo R. Baldivieso, and Paul Trodden. “Low-complexity distributed predictive automatic generation control with guaranteed properties.” IEEE Transactions on Smart Grid 8.6 (2017): 3045-3054.
5. G. Michos, P. R. Baldivieso-Monasterios, G. C. Konstantopoulos and P. A. Trodden, “Robust Two-Layer Control of DC Microgrids with Fluctuating Constant Power Load Demand,” in IEEE Transactions on Control of Network Systems, doi: 10.1109/TCNS.2023.3286827.
4. Monasterios, Pablo Rodolfo Baldivieso, and Paul Anthony Trodden. “Model predictive control of linear systems with preview information: Feasibility, stability, and inherent robustness.” IEEE Transactions on Automatic Control 64.9 (2018): 3831-3838.
3. Baldivieso-Monasterios, Pablo R., and Paul A. Trodden. “Coalitional predictive control: Consensus-based coalition forming with robust regulation.” Automatica 125 (2021): 109380.
2. Monasterios, Pablo R. Baldivieso, Nandor Verba, Euan A. Morris, Thomas Morstyn, George C. Konstantopoulos, Elena Gaura, and Stephen McArthur. “Incorporating Forecasting and Peer-to-Peer Negotiation Frameworks into a Distributed Model-Predictive Control Approach for Meshed Electric Networks.” IEEE Transactions on Control of Network Systems 9, no. 3 (2022): 1556-1568.
1. Baldivieso-Monasterios, Pablo R., Mahdieh S. Sadabadi, and George C. Konstantopoulos. “Two-layer nonlinear control of DC–DC buck converters with meshed network topology.” Automatica 155 (2023): 111111.
Min Du
Position: Post-Doctoral Research Associate (PDRA), 2023.8-now
Research project: UKRI Future Leaders Fellowship – Digitalisation of Electrical Power and Energy Systems Operation, MR/W011360/1
Education: PhD in Electrical Engineering and Automation, Hunan University
Email: [email protected]
Selected Publications:
4. M. Du and X. Liu, “A Cyber-Secured Preventive Dispatch for Power Systems With High Wind Penetration,” in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2023.3290017.
3. M. Du, X. Liu, Q. Zhou and Z. Li, “Hybrid Robust Tri-Level Defense Model Against Multiperiod Uncertain Attacks,” in IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 3255-3265, July 2022, doi: 10.1109/TSG.2021.3139033.
2. M. Du, L. Wang and Y. Zhou, “High-Stealth False Data Attacks on Overloading Multiple Lines in Power Systems,” in IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1321-1324, March 2023, doi: 10.1109/TSG.2022.3209524.
1. M. Du, X. Liu, Z. Li and H. Lin, “Robust Mitigation Strategy against Dummy Data Attacks in Power Systems,” in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2022.3225469.
Mengxiang Liu
Position: Post-Doctoral Research Associate (PDRA), 2023.8-now
Research project: UKRI Future Leaders Fellowship – Digitalisation of Electrical Power and Energy Systems Operation, MR/W011360/2
Education: PhD in Control Science and Engineering, Zhejiang University
Email: [email protected]
Selected Publications:
7. M. Liu, C. Zhao, Z. Zhang, R. Deng, P. Cheng and J. Chen, “Converter-Based Moving Target Defense Against Deception Attacks in DC Microgrids,” in IEEE Transactions on Smart Grid, vol. 13, no. 5, pp. 3984-3996, Sept. 2022, doi: 10.1109/TSG.2021.3129195.
6. M. Liu, C. Zhao, Z. Zhang and R. Deng, “Explicit Analysis on Effectiveness and Hiddenness of Moving Target Defense in AC Power Systems,” in IEEE Transactions on Power Systems, vol. 37, no. 6, pp. 4732-4746, Nov. 2022, doi: 10.1109/TPWRS.2022.3152801.
5. M. Liu, C. Zhao, R. Deng, P. Cheng and J. Chen, “False Data Injection Attacks and the Distributed Countermeasure in DC Microgrids,” in IEEE Transactions on Control of Network Systems, vol. 9, no. 4, pp. 1962-1974, Dec. 2022, doi: 10.1109/TCNS.2022.3181483.
4. M. Liu, C. Zhao, J. Xia, R. Deng, P. Cheng and J. Chen, “PDDL: Proactive Distributed Detection and Localization Against Stealthy Deception Attacks in DC Microgrids,” in IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 714-731, Jan. 2023, doi: 10.1109/TSG.2022.3188489.
3. H. Zhu, M. Liu, C. Fang, R. Deng and P. Cheng, “Detection-Performance Tradeoff for Watermarking in Industrial Control Systems,” in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2780-2793, 2023, doi: 10.1109/TIFS.2023.3269919.
2. M. Liu, Z. Cheng, Z. Zhang, M. Sun, R. Deng, P. Cheng, and M. Chow, “A Multi-Agent System Based Hierarchical Control Framework for Microgrids,” 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021, pp. 01-05, doi: 10.1109/PESGM46819.2021.9638070.
1. M. Liu, C. Zhao, R. Deng, P. Cheng, W. Wang and J. Chen, “Nonzero-Dynamics Stealthy Attack and Its Impacts Analysis in DC Microgrids,” 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 3922-3927, doi: 10.23919/ACC.2019.8814631.
