Group Members

Pablo Baldivieso, PDRA

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, PDRA

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, PhD student

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)

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, PhD student

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

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, PhD student

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