|Table of Contents|

The Two-Dimensional Cloud Model Control Strategy ofEnergy Storage System for Wind Power Generation(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2017年01期
Page:
31-
Research Field:
电气工程
Publishing date:

Info

Title:
The Two-Dimensional Cloud Model Control Strategy ofEnergy Storage System for Wind Power Generation
Author(s):
Liu Xiaohe; Rong Yuanyuan; Ju Rong
School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
Keywords:
wind power; energy storage system; one-order low-pass filtering; state of charge; cloud model controller
PACS:
TM614
DOI:
10.3969/j.issn.1672-1292.2017.01.005
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.

References:

[1] 李强,袁越,谈定中. 储能技术在风电并网中的应用研究进展[J]. 河海大学学报(自然科学版),2010,38(1):115-122.
LI Q,YUAN Y,TAN D Z. Progress on application of energy storage technology in wind power integration[J]. Journal of Hohai university(natural sciences),2010,38(1):115-122.(in Chinese)
[2]彭思敏,曹云峰,蔡旭. 大型蓄电池储能系统接入微电网方式及控制策略[J]. 电力系统自动化,2011,35(16):38-43.
PENG S M,CAO Y F,CAI X. Control of large scale battery energy storage system interface to microgrid[J]. Automation of electric power systems,2011,35(16):38-43.(in Chinese)
[3]丁明,徐宁舟,毕锐. 用于平抑可再生能源功率波动的储能电站建模及评价[J]. 电力系统自动化,2011,35(2):66-72.
DING M,XU N Z,BI R. Modeling of BESS for smoothing renewable energy output fluctuations[J]. Automation of electric power systems,2011,35(2):66-72.(in Chinese)
[4]TELEKE S,BARAN M E,BHATTACHARYA S,et al. Optimal control of battery energy storage for wind farm dispatching[J]. IEEE transactions on energy conversion,2010,25(3):787-794.
[5]LI W,JOOS G,ABBEY C. Wind power impact on system frequency deviation and an ESS based power filtering algorithm solution[C]//Power Systems Conference and Exposition,Atlanta:IEEE,2006:2 077-2 084.
[6]李德毅,刘常昱. 论正态云模型的普适性[J]. 中国工程科学,2004,6(8):28-34.
LI D Y,LIU C Y. Study on universality of the normal cloud model[J]. Engineering science,2004,6(8):28-34.(in Chinese)
[7]KHALID M,SAVKIN A V.A model predictive control approach to the problem of wind power smoothing with controlled battery storage[J]. Renewable energy,2010,35(7):1 520-1 526.
[8]宋志惠,韩晓娟,孟芳园,等. 基于云模型的风电功率平滑控制策略研究[J]. 电气应用,2012(24):101-104.
SONG Z H,HAN X J,MENG F Y,et al. Research of smoothing strategy for wind power based on cloud model[J]. Electro technical application,2012(24):101-104.(in Chinese)
[9]丁明,吴建锋,朱承治,等. 具备荷电状态调节功能的储能系统实时平滑控制策略[J]. 中国电机工程学报,2013,33(1):22-29.
DING M,WU J F,ZHU C Z,et al. A real-time smoothing control strategy with SOC adjustment function of storage systems[J]. Proceedings of the CSEE,2013,33(1):22-29.(in Chinese)
[10]王成全. 基于二维云模型规则提取算法研究[J]. 计算机工程与应用,2010,46(26):46-49.
WANG C Q. Study of rules extraction method based on two-dimension cloud model [J]. Computer engineering and applications,2010,46(26):46-49.(in Chinese)

Memo

Memo:
-
Last Update: 1900-01-01