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Thesis

Scalable (re)design frameworks for optimal, distributed control in power networks

Abstract:

In this thesis, we develop scalable frameworks to (re)design a class of large-scale network systems with built-in control mechanisms, including electric power systems and the Internet, in order to improve their economic efficiency and performance while guaranteeing their stability and robustness.

After a detailed introduction relating to power system control and optimization, as well as network congestion control, we turn our attention to merging primary and secondary frequency c...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Control Group
Oxford college:
Somerville College
Role:
Author

Contributors

Division:
MPLS
Department:
Engineering Science
Role:
Supervisor


Publication date:
2015
DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK


Language:
English
Keywords:
Subjects:
UUID:
uuid:4121ae7d-d505-4d3d-8ea6-49efeb9ba048
Local pid:
ora:12252
Deposit date:
2015-09-18
ARK identifier:

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