University of Illinois Urbana-Champaign

Risk-sensitive optimization for power systems

Madavan, Avinash N.

Content Files
MADAVAN-DISSERTATION-2022.pdf

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https://hdl.handle.net/2142/117802

Description

Title
Risk-sensitive optimization for power systems
Author(s)
Madavan, Avinash N.
Issue Date
2022-11-30
Director of Research (if dissertation) or Advisor (if thesis)
Bose, Subhonmesh
Doctoral Committee Chair(s)
Bose, Subhonmesh
Committee Member(s)
  • Basar, Tamer
  • Srikant, Rayadurgam
  • Dominguez-Garcia, Alejandro D
  • Tong, Lang
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
  • risk-sensitive optimization
  • conditional value at risk
  • power systems
  • electricity markets
Abstract
In this thesis, we study methods of incorporating uncertainty, whether it be discrete component failures or continuous variability in renewable energy, explicitly in decision-making for power systems operations and planning. We model this uncertainty in a risk-sensitive fashion using the conditional value at risk measure, presenting formulations to capture these uncertainties, as well as market design around them. We then study algorithms to solve such problems, in a more general form, exploring decomposition-based approaches such as critical region exploration and Benders' decomposition to handle discrete uncertainty, and a stochastic approximation approach to handle continuous uncertainty.
Graduation Semester
2022-12
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/117802
Copyright and License Information
Copyright 2022 Avinash Madavan

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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois