Control method of smoothing wind power output using battery energy storage system based on empirical mode decomposition

In order to reduce the fluctuation rate of wind power output and improve the reliability when connected to grid, this paper puts forwards a control method of smoothing wind power output. This method is used to smooth wind power fluctuation with battery energy storage system(BESS) based on Empirical Mode Decomposition (EMD). After wind power is decomposed by EMD, the low-frequency parts are used as wind power grid-connected value and the high-frequency parts are stored by BESS; The orders of EMD filter can be adaptively adjusted according to the state of charge (SOC). Compared with another method of constant order with EMD filter, simulation results show that the method proposed in this paper can avoid the over-charging and over-discharging of battery energy storage system so as to keep SOC stable.

[1]  Lai Xiaokang,et al.  Application of Energy Storage Technologies in Power Grids , 2008 .

[2]  Li Wu,et al.  Control strategy of battery state of charge for wind/battery hybrid power system , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[3]  Chengxiong Mao,et al.  Use of Battery Energy Storage System to Improve the Power Quality and Stability of Wind Farms , 2006, 2006 International Conference on Power System Technology.

[4]  Xiangjun Li,et al.  Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system , 2012 .

[5]  D. A. Halamay,et al.  Optimal Energy Storage Sizing and Control for Wind Power Applications , 2011, IEEE Transactions on Sustainable Energy.

[6]  Wang Yun-ling Improvement of Power Quality and Stability of Wind Farms Connected to Power Grid by Battery Energy Storage System , 2006 .

[7]  Soo-Bin Han,et al.  Study on Power Quality Control in Multiple Renewable Energy Hybrid MicroGrid System , 2007, 2007 IEEE Lausanne Power Tech.

[8]  Lin Wusheng Optimal Control of Battery Energy Storage System Based on Variable Smoothing Time Constant , 2013 .

[9]  Binggang Cao,et al.  The application of combinatorial optimization by Genetic Algorithm and Neural Network , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[10]  Nan Li,et al.  Fuzzy logic based smoothing control of wind/PV generation output fluctuations with battery energy storage system , 2011, 2011 International Conference on Electrical Machines and Systems.

[11]  Gabriel Rilling,et al.  Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.

[12]  Adel Nasiri,et al.  A Hybrid System of Li-Ion Capacitors and Flow Battery for Dynamic Wind Energy Support , 2013, IEEE Transactions on Industry Applications.

[13]  Meng Shu Energy Storage Capacity Optimization in Smoothing Renewable Energy Power Fluctuations Based on Empirical Mode Decomposition , 2014 .

[14]  Wu Zhenwe Wavelet Packet-fuzzy Control of Hybrid Energy Storage Systems for PV Power Smoothing , 2014 .