Abstract
The objective of this paper is to demonstrate 1) how adding storage capacity to a network can mitigate the variability of wind generation and increase the system benefits, and 2) how the stochastic characteristics of the wind generation affect the system benefits of storage capacity. Two types of storage are considered. One represents utility-scale storage that is collocated at the wind sites, and the other represents an identical amount of deferrable demand located at load centers. The simulation is based on a multi-period, stochastic, Security Constrained Optimal Power Flow (SCOPF) and a reduction of the NPCC network. The results demonstrate that storage capacity can dispatch more wind, mitigate the ramping costs associated with wind variability, and reduce the amount of reserve capacity needed. Deferrable demand can further enhance the system operation, by flattening the typical daily pattern of load, reducing the peak system load and reducing the amount of installed capacity needed on the supply side.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 46th Annual Hawaii International Conference on System Sciences, HICSS 2013 |
| Pages | 2271-2281 |
| Number of pages | 11 |
| DOIs | |
| State | Published - 2013 |
| Event | 46th Annual Hawaii International Conference on System Sciences, HICSS 2013 - Wailea, Maui, HI, United States Duration: 7 Jan 2013 → 10 Jan 2013 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 46th Annual Hawaii International Conference on System Sciences, HICSS 2013 |
|---|---|
| Country/Territory | United States |
| City | Wailea, Maui, HI |
| Period | 7/01/13 → 10/01/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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