SUTech & Aarhus University · PhD · 2018 — 2023
Distributed & Heuristic Optimization for Microgrid Operation and Dispatch
PhD research programme on the operation, optimization and dispatch of power systems and microgrids under uncertainty
My contribution — Doctoral Researcher
Developed the distributed and heuristic optimization, dispatch and forecasting methods behind this research program, as lead or contributing author across the publication record. The wind-power forecasting model was validated using real-time simulators, not on live infrastructure; the EV energy-trading framework was tested experimentally.
Overview
This doctoral research programme developed distributed and heuristic optimization methods for the operation, optimization and dispatch of power systems and microgrids under uncertainty, from consensus-based scheduling algorithms to cloud-fog architectures for resilient microgrid operation.
The work was carried out across an international network spanning SUTech, Aarhus University, Purdue University, Deakin University and the University of Windsor.
Outcomes
- 9 peer-reviewed publications
- 270+ citations
- Forecasting and control methods validated on real-time simulators and in experimental test setups
Partners
SUTech · Aarhus University · Purdue University · Deakin University · University of Windsor
Publications & deliverables
IET Generation, Transmission & Distribution, 2023
IEEE Transactions on Cloud Computing, 2023
Economic Operation of Utility-Connected Microgrids in a Fast and Flexible Framework
Energies, 2021
IET Renewable Power Generation, 2021
IEEE Transactions on Cybernetics, 2021
Sustainable Cities and Society, 2021
DoS-Resilient Distributed Optimal Scheduling in a Fog Supporting IIoT-based Smart Microgrid
IEEE Transactions on Industry Applications, 2020
IEEE Transactions on Industrial Electronics, 2019
Need this kind of work delivered on your project?
I take distributed optimization initiatives from early concept through pilot testing to deployment on operational infrastructure.
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