Thesis
A methodology for managing wind overgeneration in hydro dominant power systems
Washington State University
Master of Science (MS), Washington State University
2013
Handle:
https://hdl.handle.net/2376/103319
Abstract
The purpose of the research was to investigate the factors that could lead to wind overgeneration and to develop a methodology to manage it, with a focus on Washington State. Given the abundance of hydro generation resources in the state, it was concluded that integration of wind could be looked at as a hydro-wind coordination problem. In order to research such a coordination problem, the MidColumbia hydro system, more specifically the Mid-Columbia Hourly Coordination Agreement zone with its five non-federal projects and its participants, was chosen as the base system to which substantial wind generation was integrated. The behavior of the base hydro system was thoroughly examined and then a methodology for managing wind overgeneration and estimating wind curtailments was developed. In order to test this methodology, wind power was integrated to the generation portfolio of a single Mid-Columbia participant and then to that of multiple Mid-Columbia participants. The resulting simulations gave insight into how the interaction of the base hydro system with the participants changed when they integrated substantial wind generation, leading to wind overgeneration, and the different ways by which this overgeneration and hence curtailments could be reduced or completely avoided. Also, possible ways in which the cost of these curtailments could be mitigated were also investigated.
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Details
- Title
- A methodology for managing wind overgeneration in hydro dominant power systems
- Creators
- Rohan Chatterjee
- Contributors
- Anjan Bose (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525159301842
- Language
- English
- Resource Type
- Thesis