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University of Illinois at Urbana-Champaign

Modeling and Control of Complex Stochastic Networks, With Applications to Manufacturing Systems and Electric Power Transmission Networks

Abstract

dc:description

For power transmission networks, we characterize the optimal amount of generation capacity to hold in reserve. The optimal solution indicates precisely how reserves must be adjusted according to environmental factors including the variability of power demand, and the ramping-rate constraints on generation.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Mike
Contributors dc:contributor
  • Meyn, Sean P.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3198942
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/80918

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chen, Mike. Modeling and Control of Complex Stochastic Networks, With Applications to Manufacturing Systems and Electric Power Transmission Networks. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/80918