Optimization of Smoothing Control in Hybrid Wind and Battery Energy Storage System

Abstract:

In recent years, renewable energy technologies like wind power generation are developing very fast. However, due to the randomness and intermittency of wind, the integration of large-scale wind farm into grid will have negative impact on many aspects of the grid. An effective way to solve these problems is to install battery energy storage system (BESS) in a wind farm. In order to smooth the output power of wind farm, this paper established a mathematical model for solving optimization problems of hybrid wind and BESS system, solved it with modern interior point algorithm. Charge-discharge process of BESS is optimized using the result of wind power prediction. Sensitivity of constraints in the model is also analyzed and optimal design of output power and capacity of BESS can be obtained as a by-product.

• Periodical: Advanced Materials Research (Volume 852)
• Pages: 703-707
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.852.703
• Online since: January 2014
• Authors: Bai Hua Zhang, Hai Feng Guo, Yong Xing Li, Man Chen, Yong Qi Li, Jin Song Zhou
• Keywords: Battery Energy Storage System (BESS), Optimization, Smoothing Control, Wind Power

References

[1] ZHANG Le-feng, WANG Zeng-ping. Influences of Wind Power Integration on Power System. Jiangsu Electrical Engineering. 2011(2): 81-84.

[2] ZHANG Fei, BAO Hai. Application of Element Model Integrating Battery Energy Storage System With Static Compensator in Grid-Connected Wind Farm Calculation. Power System Technology. 2010(9): 211-215.

[3] Sebastian R. Modelling and simulation of a high penetration wind diesel system with battery energy storage[J]. International Journal of Electrical Power & Energy Systems. 2011, 33(3): 767-774.

DOI: 10.1016/j.ijepes.2010.12.034

[4] ZHANG Bu-han，ZENG Jie，MAO Cheng-xiong, et al. Improvement of Power Quality and Stability of Wind Farms Connected to Power Grid by Battery Energy Storage System. Power System Technology. 2006(15): 54-58.

DOI: 10.1109/icpst.2006.321662

[5] Wang X Y, Mahinda Vilathgamuwa D, Choi S S. Determination of Battery Storage Capacity in Energy Buffer for Wind Farm[J]. Energy Conversion, IEEE Transactions on. 2008, 23(3): 868-878.

DOI: 10.1109/tec.2008.921556

[6] WEN Yi, ZHANG Bu-han, MAO Cheng-xiong, et al. The Power and Capacity's Optimized Allocation of Energy Storage Device in Wind Farm. Journal of Hubei University of Technology. 2012(1): 18-21.

[7] LI Wen-bin, LU Ji-ping, XU Bing, et al. Selection of Energy Storage Capacity to Suppress the Wind Power Fluctuation. East China Electric Power. 2012(3): 439-444.

[8] Wächter A, Biegler L T. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming [J]. Mathematical Programming. 2006, 106: 25-57.

DOI: 10.1007/s10107-004-0559-y