[1]刘小荷,荣园园,居 荣.风电场储能系统的二维云模型控制策略[J].南京师范大学学报(工程技术版),2017,17(01):031.[doi:10.3969/j.issn.1672-1292.2017.01.005]
 Liu Xiaohe,Rong Yuanyuan,Ju Rong.The Two-Dimensional Cloud Model Control Strategy ofEnergy Storage System for Wind Power Generation[J].Journal of Nanjing Normal University(Engineering and Technology),2017,17(01):031.[doi:10.3969/j.issn.1672-1292.2017.01.005]
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风电场储能系统的二维云模型控制策略
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
17卷
期数:
2017年01期
页码:
031
栏目:
电气工程
出版日期:
2017-03-30

文章信息/Info

Title:
The Two-Dimensional Cloud Model Control Strategy ofEnergy Storage System for Wind Power Generation
文章编号:
1672-1292(2017)01-0031-06
作者:
刘小荷荣园园居 荣
南京师范大学电气与自动化工程学院,江苏 南京 210042
Author(s):
Liu XiaoheRong YuanyuanJu Rong
School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
关键词:
风力发电储能系统一阶低通滤波荷电状态云模型控制
Keywords:
wind powerenergy storage systemone-order low-pass filteringstate of chargecloud model controller
分类号:
TM614
DOI:
10.3969/j.issn.1672-1292.2017.01.005
文献标志码:
A
摘要:
为了平滑风力发电功率的波动,常常在风电场中配置一定容量的储能装置,这样能够有效地抑制风力发电的间歇性和波动性. 本文考虑储能系统的过度充放电对其使用寿命产生的不利影响,在充放电能力及充放电强度的双约束条件下,建立了基于二维云模型的储能控制系统,可以实时修正储能装置的充放电功率值. 不仅抑制了风电功率的波动性,提高了功率输出的稳定性,而且使储能装置的荷电状态维持在一定范围内,避免了过度充放电,延长了储能装置的使用时间. 最后运用MATLAB/Simulink软件对基于二维云模型的储能控制系统进行仿真,验证了该方法的正确性.
Abstract:
Wind power has the characteristics of intermittence and volatility. With certain capacity of energy storage devices,wind power volatility can be smoothed effectively. This paper,considering the damage to the energy storage system service life caused by the excessive charging and deep discharging,proposes a two-dimension cloud model control strategy for the storage system,under the double constrain conditions of the capability and intensity to charge and discharge. The strategy,adjusting the power reference value of energy storage system in real time,improves the stability of wind power output,and extends the energy storage system service life. Finally,the result of simulation in MATLAB/Simulink shows the correctness and effectiveness of the cloud model control strategy.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-10-01.
通讯联系人:居荣,教授,研究方向:继电保护技术研究,新能源控制技术研究及微电网故障分析. E-mail:jurong@njnu.edu.cn
更新日期/Last Update: 1900-01-01