Energy Storage Battery Reduce The Volatility of the Wind Power Application Strategy

被引：0

作者：

Jin Wen-tao ^{[1
]}

Xie Zhi-jia ^{[1
]}

Li Jian-lin ^{[1
]}

机构：

[1] China Elect Power Res Inst, Elect Engn & New Mat Dept, Beijing 100192, Peoples R China

来源：

2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI) | 2012年

关键词：

battery energy storage system; battery capacity demand; capacity; smooth time constant;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To minimize the negative influence of randomness and volatility of wind power to the network, the paper applys the battery energy storage system and adopts a order low-pass filter to smoothly control the wind power. It analizes the energy storage battery power and the battery capacity demand under different time constant. According to the smooth of wind power, we can choose the suitable time constant. It also analizes the the relationship between energy storage capacity and smooth time constant. According to the smooth constant of unit energy storage, we can choose the suitable smooth constant of energy storage. It is valuable for the selection of configurating energy storage system when wind farm smooth wind power fluctuates.

引用

页码：45 / 49

页数：5

共 13 条

[1] Controller design for an induction generator driven by a variable-speed wind turbine [J].

Chen, Woei-Luen ;

Hsu, Yuan-Yih .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (03) :625-635

[2]

Ding Ming, 2011, Automation of Electric Power Systems, V35, P34

[3]

Han Tao, 2010, Power System Technology, V34, P169

[4]

jun Guan, 2011, POWER SYSTEM CLEAN E, V27, P48

[5]

Li Jianlin, 2008, WORLD INVERTERS, V6, P65

[6]

Liang Liang, 2011, High Voltage Engineering, V37, P930

[7] Effect of energy storage on variations in wind power [J].

Paatero, JV ;

Lund, PD .

WIND ENERGY, 2005, 8 (04) :421-441

[8]

Shiji W, INVESTIGATION OPTIMA

[9]

[谭志忠 TAN Zhizhong], 2008, [河海大学学报. 自然科学版, Journal of Hohai University. Natural Sciences], V36, P58

[10]

Tang zhiwei, 2011, MODELING CONTROLLING

← 1 2 →