用户名: 密码: 验证码:
基于模糊评价的风电场有功功率分配算法
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Research on Wind Farm Active Power Dispatching Algorithm Based on Fuzzy Evaluation
  • 作者:刘军 ; 张彬彬 ; 赵婷
  • 英文作者:Liu Jun;Zhang Binbin;Zhao Ting;School of Automation and Information Engineering Xi'an University of Technology;
  • 关键词:有功功率分配 ; 风电场 ; 限功率 ; 模糊评价
  • 英文关键词:The active power dispatching;;wind farm;;power-limited control;;fuzzy evaluation
  • 中文刊名:DGJS
  • 英文刊名:Transactions of China Electrotechnical Society
  • 机构:西安理工大学自动化与信息工程学院;
  • 出版日期:2018-12-10 10:58
  • 出版单位:电工技术学报
  • 年:2019
  • 期:v.34
  • 基金:陕西省重点研发计划项目(2017GY-061)
  • 语种:中文;
  • 页:DGJS201904017
  • 页数:9
  • CN:04
  • ISSN:11-2188/TM
  • 分类号:154-162
摘要
按风速权重风电场有功功率分配算法存在有功功率输出波动大、桨距角频繁调节的问题,为此本文提出一种基于模糊评价的风电场有功功率分配算法。将风电机组限功率运行分为变速、变速变桨和变桨三个运行区,以风电机组的桨距角、转速和风速为输入,通过分区域模糊推理,得到风电机组的健康度和调节能力,最终采用按能力权重分配算法得到风电机组有功功率给定。仿真结果表明,基于模糊评价算法的风电场有功功率输出平滑,风电场机组转速变化和桨矩角变化都较小。
        The active power dispatching algorithm of wind farms based on wind speed weight has the problems of large fluctuation of active power output and frequent adjustment of pitch system.Therefore, an active power dispatching algorithm based on fuzzy evolution had been proposed. The wind turbine curtailment power operation is divided into variable speed, variable speed joint variable pitch and variable pitch operation zone. Taken the pitch angle, rotating speed and wind speed as inputs,the schedule and regulation capacity of wind turbine is given by piecewise fuzzy inferring. Finally, the active power of the wind turbine is obtained by the active power dispatching algorithm based on the capacity weight distribution. The simulation shows that, through the active power dispatching algorithm based the fuzzy evaluation, the active power output of wind farm is smoother and the amplitude of pitch angle is decreased.
引文
[1]薛禹胜,雷兴,薛峰,等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报,2014,34(29):5029-5040.Xue Yusheng,Lei Xing,Xue Feng,et al.A review on impacts of wind power uncertainties on power systems[J].Proceedings of the CSEE,2014,34(29):5029-5040.
    [2]Poul S,Anca D H,Florin I,et al.Wind farm models and control strategies[R].Roskilde,Denmark:Information Service Department of Ris?National Laboratory,2005.
    [3]Zou Jianxiao,Yao Junping,Zou Qingze,et al.Amulti-objective optimization approach to active power control of wind farm[J].Journal of Solar Energy Engineering,2014,136(2):021026.
    [4]Guo Yi,Kabamba P T,Meerkov S M,et al.Quasilinear control of wind farm power output[J].IEEE Transactions on Control Systems Technology,2015,23(4):1555-1562.
    [5]Zhao Haoran,Wu Qiuwei,Wang Jianhui,et al.Combined active and reactive power control of wind farms based on model predictive control[J].IEEETransactions on Energy Conversion,2017,32(3):1177-1187.
    [6]Zhao Haoran,Wu Qinwei,Huang Shaojun,et al.Fatigue load sensitivity based optimal active power dispatch for wind farms[J].IEEE Transactions on Sustainable Energy,2017,8(3):1247-1259.
    [7]林俐,谢永俊,朱晨宸,等.基于优先顺序法的风电场限出力有功控制策略[J].电网技术,2013,37(4):960-966.Lin Li,Xie Yongjun,Zhu Chenchen,et al.Priority list-based output-restricted active power control strategy for wind farms[J].Power System Technology,2013,37(4):960-966.
    [8]梅华威,米增强,李聪,等.采用机组风速信息动态分类的风电场有功控制策略[J].中国电机工程学报,2014,34(34):6058-6065.Mei Huawei,Mi Zengqiang,Li Cong,et al.An active control strategy based on wind speed information dynamic classification for WTGS in wind farm[J].Proceedings of the CSEE,2014,34(34):6058-6065.
    [9]肖运启,王昆朋,贺贯举,等.基于趋势预测的大型风电机组运行状态模糊综合评价[J].中国电机工程学报,2014,34(13):2132-2139.Xiao Yunqi,Wang Kunpeng,He Guanju,et al.Fuzzy comprehensive evaluation for operating condition of large-scale wind turbines based on trend predication[J].Proceedings of the CSEE,2014,34(13):2132-2139.
    [10]李辉,刘盛权,冉立,等.大功率并网风电机组变流器状态监测技术综述[J].电工技术学报,2016,31(8):1-10.Li Hui,Liu Shengquan,Ran Li,et al.Overview of condition monitoring technologies of power converter for high power grid-connected wind turbine generator system[J].Transactions of China Electrotechnical Society,2016,31(8):1-10.
    [11]周志超,王成山,郭力,等.变速变桨距风电机组的全风速限功率优化控制[J].中国电机工程学报,2015,35(8):1837-1844.Zhou Zhichao,Wang Chengshan,Guo Li,et al.Output power curtailment control of variable-speed variable-pitch wind turbine generator at all wind speed regions[J].Proceedings of the CSEE,2015,35(8):1837-1844.
    [12]马少康,耿华,马进,等.双馈型风电场详细模型建模方法[J].电工技术学报,2017,32(增刊1):1-10.Ma Shaokang,Geng Hua,Ma Jin,et al.An approach to establish detailed model of DFIG based wind farm[J].Transactions of China Electrotechnical Society,2017,32(S1):1-10.
    [13]杨良,王议锋,孟准.小型并网风力发电系统控制策略[J].电工技术学报,2017,32(10):252-263.Yang Liang,Wang Yifeng,Meng Zhun.Control strategy of a small-scale grid-connected wind generation system[J].Transactions of China Electrotechnical Society,2017,32(10):252-263.
    [14]奚鑫泽,耿华,杨耕.含主动轴系扭振阻尼的并网双馈风电场惯量控制方法[J].电工技术学报,2017,32(6):136-144.Xi Xinze,Geng Hua,Yang Geng.Inertia control of the grid connected doubly fed induction generator based wind farm with drive-train torsion active damping[J].Transactions of China Electrotechnical Society,2017,32(6):136-144.
    [15]廖勇,何金波,姚骏,等.基于变桨距和转矩动态控制的直驱永磁同步风力发电机功率平滑控制[J].中国电机工程学报,2009,29(18):71-77.Liao Yong,He Jinbo,Yao Jun,et al.Power smoothing control strategy of direct-driven permanent magnet synchronous generator for wind turbine with pitch angle control and torque dynamic control[J].Proceedings of the CSEE,2009,29(18):71-77.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700