Graduation Year
2013
Document Type
Dissertation
Degree
Ph.D.
Degree Granting Department
Industrial and Management Systems Engineering
Major Professor
Bo Zeng
Keywords
Mixed-integer Programming, Robust Optimization, Stochastic Programming, Transmission Vulnerability Analysis, Unit Commitment
Abstract
This dissertation is a collection of previously-published manuscript and conference papers. In this dissertation, we will deal with a stochastic unit commitment problem with cooling systems for gas generators, a robust unit commitment problem with demand response and uncertain wind generation, and a power grid vulnerability analysis with transmission line switching. The latter two problems correspond to our theoretical contributions in two-stage robust optimization, i.e., how to efficiently solve a two-stage robust optimization, and how to deal with mixed-integer recourse in robust optimization. Due to copyright issue, this dissertation does not include any methodology papers written by the author during his PhD study. Readers are referred to the author's website for a complete list of publications.
Scholar Commons Citation
Zhao, Long, "Novel Models and Algorithms for Uncertainty Management in Power Systems" (2013). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/4971
