Final sections cover energy system planning, particularly in terms of consumer smart meter technologies and distributed optimization methods, including artificial intelligence, meta-heuristic, heuristic, mathematical and hybrid approaches. The work closes by considering decentralization across the cybersecurity, distributed control, market design and power quality optimization vertices.
- Develops a novel framework for transactive energy management to enhance flexibility in future power systems
- Explores interactions between multiple entities in local power markets based on a distributed optimization approach
- Focuses on practical optimization, planning and control of smart grid systems towards decentralized decision-making
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