DocumentCode :
232881
Title :
Operation of low-carbon-emission microgrid considering wind power generation and compressed air energy storage
Author :
Fang Chen ; Chen Laijun ; Zhang Yu ; Wang Cheng ; Mei Shengwei
Author_Institution :
Electr. Power Res. Inst., State Grid Shanghai Municipal Electr. Power Co., Shanghai, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
7472
Lastpage :
7477
Abstract :
To reduce the carbon emission of microgrid, a concept of low-carbon-emission microgrid is developed in this paper. Compressed air energy storage (CAES) is introduced into the proposed microgrid for its flexibility and high overall efficiency. As the power source of the microgird, uncertainty of wind power generation is well modeled. A max-min operation framework of microgrid considering wind power uncertainty is proposed. Basically, state of charge (SOC) of CAES represents its regulation capability in a period of time. Unlike the fixed initial and final SOC of energy storage system in the other operation model, SOC of CAES in the proposed framework is changed by wind power output and load demand. Outer approximation method is adopted to solve the max-min formulation. Numerical cases show the effectiveness of the proposed operation framework.
Keywords :
air pollution control; compressed air energy storage; distributed power generation; wind power plants; CAES; SOC; approximation method; compressed air energy storage; load demand; low-carbon-emission microgrid operation; max-min formulation; max-min operation framework; power source; state of charge; wind power generation; wind power output; wind power uncertainty; Energy storage; Microgrids; System-on-chip; Uncertainty; Wind forecasting; Wind power generation; Compressed air energy storage; Low carbon emission; Microgrid operation; Wind power uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896243
Filename :
6896243
Link To Document :
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