
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.

Bozheng Li
Position: Doctoral student (PhD), 2021-now
Research topic: Optimization of Charging Grids for Air Transport Electrification
Education: BEng in Electronic Information Engineering, Southwest Jiaotong University (西南交通大学)
Email: @sheffield.ac.uk
Publications:
2. Guo Z, Li B, Taylor G & Zhang X (2023) “Infrastructure planning for airport microgrid integrated with electric aircraft and parking lot electric vehicles”. eTransportation, 100257-100257
1. Li B, Guo Z, Yuan Y & Zhang X (2022) “Study on the Impact of Aviation Electrification on Voltage Deviation of the GB Transmission System”. 2022 57th International Universities Power Engineering Conference (UPEC), 30 August 2022 – 2 September 2022

Dongmeng Qiu
Position: Doctoral student (PhD), 2022-now
Research topic: Investigation of cyber-physical power system modelling and digital co-simulation to enhance real-time power system operation.
Education: BEng in Electrical Engineering from North China Electric Power University (华北电力大学), MSc in Electrical Power System Engineering from The University of Manchester
Email: @sheffield.ac.uk
Publications:
1. Qiu D, Zhang R, Dabashi AH, Zhou Z, Zhang X (2022) “Cyber-physical contingency and vulnerability assessment using double power flow method”, 12th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2022, best paper).

Zhuoran Zhou
Position: Doctoral student (PhD), 2022-now
Research topic: Cyber-security enabled power system operation
Education: BEng in Mechanical Engineering from Wuhan University (武汉大学), MSc in Advanced Mechanical Engineering from Cranfield University
Email: @sheffield.ac.uk