|
Deep Blue at the University of Michigan >
All Collections >
Dissertations and Theses (Ph.D. and Master's) >
|
Please use this persistent URL to cite or link to this item:
|
| Title: | Examining the Benefits of Optimal Spatial Diversification of Wind Capacity |
| Authors: | Sadeghi Baghorskhi, Sina |
| Keywords: | power system flexibility minimum generation level ramping capability |
| Issue Date: | Aug-2009 |
| Abstract: | This study examines the benefits of optimal spatial diversification of wind capacity as an option
to reduce wind curtailment and, therefore, to increase the utilization of wind capacity. Wind
generation concentrated at sites with the highest energy capture, once aggregated, does not
utilize the installed wind capacity at the highest possible rate due to wind curtailment. Contrary
to the expectations, wind generation at sites with lower energy capture but with wind generation
patterns that minimize wind curtailment results in a higher utilization of installed wind capacity.
Such a configuration requires an optimization scheme to model power system flexibility and
wind generation and to allocate capacity with the objective of maximizing the utilization of wind
capacity, defined by the term “effective capacity factor”, CFE, (i.e. average system wide wind
generation less curtailment, divided by installed capacity.)
In order to measure the benefits of optimal spatial configuration of wind capacity, a base-case
configuration is defined which approximates the dominant trend in the wind industry. In the
base-case configuration, capacity is allocated to sites in the order of their energy capture
(capacity factor) until the capacity limit for the selected sites are reached. The improvement of
CFE in the optimal configuration over the base-case configuration is then used as a measure to
quantify and illustrate the benefits of optimal spatial diversification.
The results of this study show that the CFE of the installed wind capacity in the system improves
by 2% to 4% in the optimally diversified configuration at low levels of wind penetration (10% to
20%) and subject to moderate to strict power system generation constraints. For medium levels
of wind penetration (20% to 30%), there is no observed benefits since ramping complications
fade away at higher levels of penetration. At high levels of penetration (25% to 40%), the
minimum generation level constraint results in 5% to 10% CFE improvement in the optimally
diversified configuration.
Storage is modeled in the system, as an alternative method of comparing the optimal and basecase
configurations. The storage capacity that would be saved by optimally diversifying the wind
capacity is determined for different levels of wind capacity installations and subject to varying
levels of power system flexibility. Power system generation flexibility is modeled by two key
parameters of minimum generation level and ramping capability.
The benefits of optimal configuration over the business-as-usual base-case configuration are
significant at low and high levels of wind penetration whereas the benefits are almost absent at
medium levels of wind penetration. This is explained by the role that the key parameters of the
generation fleet play at different levels of penetration. |
| Appears in Collections: | Natural Resources and Environment, School of (SNRE) Dissertations and Theses (Ph.D. and Master's)
|
Files in This Item:
| File |
Description |
Size | Format | |
| Sina thesis.pdf | | 2941Kb | Adobe PDF | View/Open |
|
Deep Blue encourages the fair use of copyrighted material, and you are free to link to content here without asking for permission. Consult the document(s) and/or contact the copyright holder for additional rights questions and requests.
|