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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Etinski, M. Schulke, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: NEC Labs. Eur., Heidelberg, Germany (Etinski, M.; Schulke, A.) |
| Abstract | Wind energy integration into the electric grid has been traditionally seen as a challenge due to its intermittent and variable nature. Power demand also fluctuates making the integration more difficult. Energy storage systems (ESS) are widely accepted as a viable but costly solution to balance between renewable power generation and power load. Various energy storage technologies, such as Li-ion, lead-acid batteries or flywheels, are in use for renewable energy integration. These technologies have different energy and power capacity costs, as well as different round-trip efficiencies. However, up-to-date a combination of different energy storage technologies taking into account their round-trip efficiencies has not been considered at the utility scale. In this paper, we propose how to design a hybrid energy storage for integration of wind power into systems with limited or no connectivity to the power grid. Moreover, we give a control strategy to operate such hybrid ESS taking into account all relevant system parameters. Our simulation results show that hybrid systems substantially outperform single-technology systems of the same capital cost allowing for more efficient use of renewable energy and better balance between power demand and generation. |
| Sponsorship | Ind. Electron. Soc. |
| Starting Page | 1769 |
| Ending Page | 1774 |
| File Size | 236846 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467345675 |
| e-ISBN | 9781467345699 |
| e-ISBN | 9781467345682 |
| DOI | 10.1109/ICIT.2013.6505943 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-02-25 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Batteries Wind power generation Lead Power demand Optimization Linear programming |
| Content Type | Text |
| Resource Type | Article |
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