Title :
Energy storage design and optimization for power system with wind feeding
Author :
Shakib, Arefeh Danesh ; Balzer, Gerd
Author_Institution :
Inst. of Electr. Power & Energy, Tech. Univ. Darmstadt, Darmstadt, Germany
Abstract :
The electrical energy production from renewable sources has gained considerably in importance in the last years. A meaningful possibility of energy generation from renewable sources is the use of wind energy. The wind energy generation is weather dependent and load independent. Therefore, it can have a certain unreliability, which can cause the power fluctuations into the system. A possible solution for this problem can be the storage of wind energy. The use of sodium-sulphur (NaS) batteries is a meaningful backup method for large wind farms because of their excellent technical characteristics such as high energy density, high power density, high efficiency and long life times. For this paper a model, which calculates the optimal battery size for compensation of short-term forecast errors, are developed and the application of the battery systems is optimized.
Keywords :
energy storage; optimisation; power systems; secondary cells; sodium compounds; wind power; wind power plants; NaS; battery systems applications; electrical energy production; energy density; energy storage design; optimization; power density; power fluctuations; power system; renewable sources; short-term forecast errors; wind energy generation; wind farms; wind feeding; Batteries; Design optimization; Energy storage; Fluctuations; Power systems; Predictive models; Production; Wind energy; Wind energy generation; Wind farms; battery; design; forecast error; storage; wind;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
DOI :
10.1109/PMAPS.2010.5528417