Title :
A Knowledge-Based Approach for Control of Two-Level Energy Storage for Wind Energy Systems
Author :
Abbey, Chad ; Strunz, Kai ; Joós, Géza
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
fDate :
6/1/2009 12:00:00 AM
Abstract :
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.
Keywords :
energy storage; knowledge based systems; power engineering computing; power system control; wind power; knowledge based management algorithm; two level energy storage; wind energy systems; Energy storage; knowledge-based systems; neural networks; power generation; wind energy;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2008.2001453