Journal
IEEE TRANSACTIONS ON ENERGY CONVERSION
Volume 24, Issue 2, Pages 539-547Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2008.2001453
Keywords
Energy storage; knowledge-based systems; neural networks; power generation; wind energy
Ask authors/readers for more resources
The percentage of wind energy in a generation mix will ultimately be limited by its intermittency and uncertainty as a source of power. However, the pairing of wind with energy storage systems could be utilized in order to produce dispatchable power. This paper considers a two-level energy storage system for application to wind energy systems. A knowledge-based management algorithm is proposed in order to schedule the power from the two levels. The system is tested for two possible power systems applications and its performance is compared with that of an alternate scheduling approach. Results demonstrate that the proposed algorithm requires a lower storage rating due to its ability to better coordinate operation of the two devices.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available