Professor Xin Zhang

Department of Automatic Control and Systems Engineering

Professor in Control and Power Systems

Electrical Machines and Drives Research Group

Photo of Professor Xin Zhang
Profile picture of Photo of Professor Xin Zhang
xin.zhang1@sheffield.ac.uk
+44 114 222 25619

Full contact details

Professor Xin Zhang
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
Profile

I am the Professor and Chair in Control and Power Systems at University of Sheffield. Currently, I hold the prestigious UKRI Future Leaders Fellowship 'Digitalisation of Electrical Power and Energy Systems Operation, MR/W011360/2, £1.5m', and the EPSRC New Investigator Award 'Grid flexibility through multiscale modelling and integration of power systems with electrified air transport, EP/W028905/1, £400k'.

My research experience covers power system operation and control, cyber-physical power systems, cybersecurity and resilience of power systems, real-time digital simulation, and grid integration with land-air transport electrification. 

I lead the Control and Power Systems Laboratory (CAPS Lab) of University of Sheffield. At CAPS, we investigate digitalisation technologies that could potentially improve the monitoring and control of power grids in both cyber and physical aspects. We explore the advanced grid monitoring platform, state estimation techniques, cybersecurity strategy, contingency analysis, vulnerability assessment, and robust network control. At CAPS, we develop co-simulation platform for digital power grids, that enables the fundamental integration of cyber and physical simulators for the accurate, efficient and large-scale grid simulation. Our work involves the interfacing design for model-to-model integration of different complex networks, simulation synchronisation at various time steps,  and advanced computing methods and algorithms to create a co-optimised analysis of cyber-physical power systems.

My industrial experience (2011-19) was gained from National Grid ESO as the GB Electricity System Operator, where I was professionally trained as a power system engineer in the real-time power system operation, mainly in the GB Electricity National Control Centre. My specific industrial expertise includes power system modelling and operational tools development for energy balancing and network control, to improve the security, resilience and economic operation of the GB power transmission systems.

Qualifications
  • PhD in Electrical and Electronic Engineering (2010), The University of Manchester
  • MSc (distinction) in Electrical Power Engineering (2007), The University of Manchester
  • B.Eng in Automation, Control Science and Engineering (2006), Shandong University
Research interests

My research is interdisciplinary across power, energy, and digital aspects of system engineering. My primary research interest is in power systems, with wider research interests of cyber-security, machine learning, digital twins and their applications in power & energy industry.

Broadly, I investigate net-zero energy networks as critical infrastructure, integrating transport, information and communications, renewable, storage and hydrogen. I address energy security and resilience challenges across Energy Theme.

  • Power system planning, operation and control (transmission, distribution, microgrid, renewables)
  • Cyber-physical system modelling and co-simulation (networked system control, power, energy, communications, transport)
  • Laboratory research platforms, hardware and facilities for simulation and control of power grid (real-time digital simulators, power electronics, intelligent computing)
  • Transport electrification (electric vehicle / aircraft charging, transport-energy nexus)
Publications

Journal articles

Conference proceedings papers

Grants

UKRI Future Leaders Fellowship, “Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)” £1,490,121, 2022-2026, MR/W011360/1, as PI

EPSRC New Investigator Award, “Aviation-to-Grid: Grid flexibility through multiscale modelling and integration of power systems with electrified air transport” £402,860, 2022-2025, EP/W028905/1, as PI

Defence Science and Technology Laboratory (DSTL), “Human Resilience in Cybersecurity of Future Energy Systems” £100,000, 2023-2027, RQ0000024688, as PI

UK Department for Transport, Transport-Technology Research and Innovation Grants, “Solar-Hydrogen-Storage Integrated Electric Vehicle Charging Station in Future Cities” £30,000, 2020-2021, T-TRIG 2020, as PI

EPSRC, Supergen Energy Networks Hub Flexible Fund, “GRid flexibility by Electrifying Energy Networks for Airport (GREEN Airport)” £50,000, 2019-2021, EP/S00078X/2, as PI

UK Department for Transport, Transport-Technology Research and Innovation Grants, “Aircraft to Grid (A2G): Hybrid and Smart Charging for Electric Aircraft” £30,000, 2019-2020, T-TRIG 2019, as PI