Deterministic Scheduling for Transmission-Constrained Power Systems Amid Uncertainty
|Abstract||This research develops heuristics for scheduling electric power production amid uncertainty. Reliability is becoming more difficult to manage due to growing uncertainty from renewable resources. This challenge is compounded by the risk of resource outages, which can occur any time and without warning. Stochastic optimization is a promising tool but remains computationally intractable for large systems. The models used in industry instead schedule for the forecast and withhold generation reserve for scenario response, but they are blind to how this reserve may be constrained by network congestion. This dissertation investigates more effective heuristics to improve economics and reliability in power systems where congestion is a concern.
|Contributor||Lyon, Joshua (Author) / Zhang, Muhong (Advisor) / Hedman, Kory W (Advisor) / Askin, Ronald G (Committee member) / Mirchandani, Pitu (Committee member) / Arizona State University (Publisher)|
|Subject||Operations research / Industrial engineering / Electrical engineering / ancillary services / energy markets / optimization / uncertainty / unit commitment|
|Reuse Permissions||All Rights Reserved|
|Note||Doctoral Dissertation Industrial Engineering 2015|
|Collaborating Institutions||Graduate College / ASU Library|
|Additional Formats||MODS / OAI Dublin Core / RIS|