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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