BESS for Wind Power “Peak Shaving” Control and Capacity Configuration

doi:10.11930/j.issn.1004-9649.2013.8.16.5

Abstract

Abstract: In order to reduce the peak-to-valley D-value of hour-level wind power output power, and lower the negative impacts of the intermittence and fluctuation of the wind power on power grid, a wind power peak-shaving control strategy was proposed according to the hour-level wind power output instruction based on the short-term wind power forecast technology; the battery energy storage system (BESS) was used to lower the hour-level valley-to-peak difference of wind power, and the wind power fluctuation of the synthesized storage wind power output in every time scale was restricted within a certain limit of bandwidth. The paper put forward a normal distribution-based energy storage power calculation method and a BESS-based optimization control strategy, analyzed the relationship between the part peak-shaving control strategy by BESS and the energy storage capacity Simulation results proved that the energy storage capacity configuration was valid and feasible under such control strategy.

Key words: valley-to-peak, wind power, peak shaving, battery energy storage system, storage capacity

CLC Number:

TM614

JIN Wen-tao, LI Jian-lin. BESS for Wind Power “Peak Shaving” Control and Capacity Configuration[J]. Electric Power, 2013, 46(8): 16-21.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.8.16.5

https://www.electricpower.com.cn/EN/Y2013/V46/I8/16

References

[1] 刘开俊. 风电并网对电网的影响分析及解决方案[J]. 中国电力,2012,45（9）：7-10.
LIU Kai-jun. Impacts and solutions of wind power integration on grids [J]. Electric Power, 2012, 45(9): 7-10.
[2] 余民,杨旻宸,蒋传文,等. 风电并网后系统可靠性评估和备用优化研究[J]. 电力系统保护与控制,2012,40（12）：100-104.
YU Min, YANG Min-chen, JIANG Chuan-wen, et al . Study on power system reliability and reserve optimization with wind power integration[J]. Power System Protection and Control, 2012, 40(12): 100-104.
[3] 毕大强,葛宝明,王文亮,等. 基于钒电池储能系统的风电场并网功率控制[J]. 电力系统自动化,2010,34（13）：72-78.
BI Da-qiang, GE Bao-ming, WANG Wen-liang, et al . VRB energy system based power control of grid-connected wind farm[J]. Automation of Electric Power Systems, 2010, 34(13): 72-78.
[4] 何世恩,董新洲. 大规模风电机组拖网原因分析及对策[J]. 电力系统保护与控制,2012,40（1）：131-137.
HE Shi-en, DONG Xin-zhou. Cause analysis on large-scale wind turbine tripping and its ccountermeasures[J]. Power System Protection and Control, 2012, 40(1): 131-137.
[5] 张丽英,叶廷路,辛耀中,等. 大规模风电接入电网的相关问题及措施[J]. 中国电机工程学报,2010,30（25）：1-9.
ZHANG Li-ying, YE Ting-lu, XIN Yao-zhong, et al . Problems and measures of power grid accommodating large scale wind power[J].Proceedings of the CSEE, 2010, 30(25): 1-9.
[6] 张坤,毛承雄,陆继明,等. 基于储能的直驱风力发电系统的功率控制[J]. 电工技术学报,2011,26（7）：7-14.
ZHANG Kun, MAO Cheng-xiong, LU Ji-ming, et al . Power control strategy of directly driven wind turbine with energy storage system[J]. Transactions of China Electrotechnical Society, 2011, 26(7): 7-14.
[7] QU L Y, QIAO W. Constant power control of DFIG wind turbines with supercapacitor energy storage[J]. IEEE Transactions on Industry Applications, 2011, 47(1), 359-367.
[8] 于芃,周玮,孙辉,等. 用于风电功率平抑的混合储能系统及其控制系统设计[J]. 中国电机工程学报,2011,31（17）：127-133.
YU Peng, ZHOU Wei, SUN Hui, et al . Hybrid energy storage system and control system design for wind power balancing[J]. Proceedings of the CSEE, 2011, 31(17): 127-133.
[9] UMMELS B C, PELGRUM E, KLING W L. Integration of large- scale wind power and use of energy storage in the Netherlands’ electricity supply[J]. IET Renewable Power Generation, 2008, 2(1): 34-46.
[10] PAPAEFTHIMIOU S, KARAMANOU E, PAPATHANASSIOU S, et al . Operating policies for wind-pumped storage hybrid power stations in island grids [J]. IET Renewable Power Generation, 2009, 3(3): 293-307.
[11] 金一丁,宋强,陈晋辉,等. 大容量电池储能电网接入系统[J].中国电力,2010,43（2）：16-20.
JIN Yi-ding, SONG Qiang, CHEN Jin-hui, et al . Power conversion system of large scaled battery energy storage[J]. Electric Power,2010, 43(2): 16-20.
[12] 周雪松,权博,马幼捷,等. 超导磁储能装置在风电系统控制中的应用[J]. 中国电力,2010,43（6）：5-9.
ZHOU Xue-song, QUAN Bo, MA You-jie, et al . Applications of a super-conducting magnetic energy storage system in a wind power system [J]. Electric Power, 2010, 43(6): 5-9.
[13] 张宏宇,印永华,申洪,等. 大规模风电接入后的系统调峰充裕性评估[J]. 中国电机工程学报,2011,31（22）：26-31.
ZHANG Hong-yu, YIN Yong-hua, SHEN Hong, et al . Peak-load regulating adequacy evaluation associated with large-scale wind power integration[J]. Proceedings of the CSEE, 2011, 31(22): 26-31.
[14] 张国驹,唐西胜,齐智平. 平抑间歇式电源功率波动的混合储能系统设计[J]. 电力系统自动化,2011,35（20）：24-28.
ZHANG Guo-ju, TANG Xi-sheng, QI Zhi-ping. Design of a hybrid energy storage system on leveling off fluctuating power outputs of intermittent sources[J]. Automation of Electric Power Systems,2011, 35(20): 24-28.
[15] 李蓓,郭剑波. 平抑风电功率的电池储能系统控制策略[J]. 电网技术,2012,36（8）：38-43.
LI Bei, GUO Jian-bo. A control strategy for battery energy storage system to level wind power output[J]. Power System Technology Technology, 2012, 36(8): 38-43.
[16] 宇航,张真卿,苑田芬,等. 风电功率波动平抑效能与储能容量之间关系的分析[C]. 中国电机工程学会年会,2009.11.25-27.中国,天津.
YU Hang, ZHANG Zhen-qing, YUAN Tian-fen, et al . The relationships between the efficiency of stabilizing wind power fluctuations and capacity of storage system[C]. Annual Conference of CSEE. 2009.11.25-27. Tian Jin, China.
[17] 文艺,张步涵,毛成雄,等. 风电场中储能系统的功率和能量优化配置[J]. 湖北工业大学学报,2012,27（1）：18-21.
WEN Yi, ZHANG Hu-han, MAO Cheng-xiong, et al . The power and capcity’s optimized allocation of energy storage device in wind farm[J]. Journal of Hubei University of Technology, 2012, 27(1): 18-21.
[18] 梁亮,李建林,惠东,等. 大型风电场用储能容量的优化配置[J]. 高电压技术,2011,37（4）：930-936.
LIANG Liang, LI Jian-lin, HUI Dong, et al . Optimization configuration for capacity of energy storage system in large-scale wind farm [J]. High Voltage Engineering, 2011, 37(4): 930-936.
[19] 韩涛,卢继平,乔梁,等. 大型并网风电场储能容量优化方案[J]. 电网技术,2010,34（1）：169-173.
HAN Tao, LU Ji-ping, QIAO Liang, et al . Optimized scheme of energy storage capacity for grid-connected large-scale wind farm [J]. Power System Technology, 2010, 34(1): 169-173.
[20] 宇航. 利用储能系统平滑风电功率波动的仿真研究[D]. 吉林：东北电力大学,2010.3.
[21] 唐志伟.钒液流储能电池建模及其平抑风电波动研究[D]. 吉林：东北电力大学,2010.3.