Abstract
dc:description.abstractIn recent years, with increasing renewable supply variability, thermal power plants have started up and shut down more frequently. These discrete commitment decisions, optimized in the unit commitment (UC) problem, have an impact on system operations as well as generation expansion planning (GEP). The non-convex costs associated with the commitment decisions may also lead to generators' incentive to deviate from the optimal dispatch under locational marginal prices. In this dissertation, we first propose a convex relaxation of UC based on a primal formulation of the Lagrangian dual problem. This convex relaxation is used (i) to solve the convex hull pricing problem in polynomial time, providing prices with better incentives in non-convex electricity markets, and (ii) to construct a computationally efficient GEP model that represents operational flexibility limits. Next, we present a tight formulation for the commitment of combined-cycle units with representation of their transition ramping. Finally, we propose a pricing method that reduces out-of-market payments in multi-interval real-time markets.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy
- Level thesis:degree_level
- Doctoral
- Discipline thesis:degree_discipline
- Electrical and Computer Engineering
- Grantor
- The University of Texas at Austin
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hua, Bowen
- Advisor dc:contributor.advisor
-
- Baldick, Ross
- Committee members dc:contributor.committeemember
-
- Bard, Jonathan
- Caramanis, Constantine
- Zhu, Hao
Subjects
dc:subject × 4Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Identifier URI
- http://dx.doi.org/10.26153/tsw/1284
- OAI identifier oai:identifier
- oai:repositories.lib.utexas.edu:2152/74153