考虑时空分布特性的风速预测模型
CSTR:
作者:
作者单位:

(1.南京师范大学电气与自动化工程学院,江苏 南京 210042;2.中国电力科学研究院,江苏 南京 210003; 3.江苏电力公司连云港供电公司电力调度中心,江苏 连云港 222004)

作者简介:

叶燕飞(1991-),女,硕士研究生,研究方向为风力发电技术,电力系统;
王 琦(1975-),女,通信作者,副教授,硕士生导师,研究方向为电力系统、电力电子、新能源发电技术等;E-mail:mzxj_njnu@163.com
陈 宁(1983-),男,硕士,高级工程师,主要研究方向为风力发电系统接入及控制方法研究。

通讯作者:

中图分类号:

基金项目:


Wind forecast model considering the characteristics of temporal and spatial distribution
Author:
Affiliation:

(1. School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, China;2. China Electric Power Research Institute, Nanjing 210003, China;3. Lianyungang Electric Power Dispatching and Control Center, Lianyungang 222004, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    随着风电并网规模日益增加,风电功率波动对电网的影响将更加显著。风速预测可以辅助电网制定调度和运行控制决策,合理应对风电功率波动,降低风电功率波动对电网安全稳定运行的影响。考虑风电机组的地理分布和风速的时间、空间分布特性,建立等效风速模型。由该模型建立上、下游风电机组的风速关联关系,修正下游风电机组的风速。在此基础上,提出一种基于修正系数的风速预测方法,以提高预测精度。以实际风电场地理数据和风电机组参数为基础的仿真算例验证了该方法的可行性和合理性。

    Abstract:

    With the increasing of scale of wind power integrated into power system, the influence of wind power fluctuation to the power system is more serious. Wind speed prediction can help formulate electric power grid scheduling and make operational control decision, rational response to wind power fluctuations can reduce the impact of wind power fluctuations on grid safety and stable operation. This paper establishes an equivalent wind speed model considering the geographic distribution of wind turbines and wind speed distribution in time and space. The wind speed relationship between upstream wind turbine and downstream wind turbine is established based on this model, which is used to fix the wind speed of downstream wind turbine. In addition, a wind farm power forecasting method is proposed based on wind speed revision, in order to improve the prediction accuracy of wind power. The feasibility and rationality of the method is verified by simulation examples based on actual wind farms parameters and geographic data.

    参考文献
    相似文献
    引证文献
引用本文

叶燕飞,王琦,陈宁,等.考虑时空分布特性的风速预测模型[J].电力系统保护与控制,2017,45(4):114-120.[YE Yanfei, WANG Qi, CHEN Ning, et al. Wind forecast model considering the characteristics of temporal and spatial distribution[J]. Power System Protection and Control,2017,V45(4):114-120]

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2016-03-01
  • 最后修改日期:2016-05-26
  • 录用日期:
  • 在线发布日期: 2017-02-21
  • 出版日期:
文章二维码
关闭
关闭