基于蒙特卡洛法和拉丁超立方采样的含风电场的概率可用输电能力研究对比
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  • 英文篇名:Comparison of the Probability Available Transfer Capability of Containing Wind Farms Based on Monte Carlo and Latin Hypercube Sampling
  • 作者:张友骞 ; 张靖 ; 何宇 ; 杨轶涵 ; 王杰
  • 英文作者:ZHANG You-qian;ZHANG Jing;HE Yu;YANG Yi-han;WANG Jie;College of Electrical Engineering, Guizhou University;
  • 关键词:可用输电能力 ; 蒙特卡洛法 ; 拉丁超立方采样 ; 风电场 ; 不确定性
  • 英文关键词:Available Transfer Capability;;Monte Carlo simulation;;Latin Hypercube Sampling;;Wind Farm;;Uncertainty
  • 中文刊名:XXHG
  • 英文刊名:The Journal of New Industrialization
  • 机构:贵州大学电气工程学院;
  • 出版日期:2018-09-20
  • 出版单位:新型工业化
  • 年:2018
  • 期:v.8;No.93
  • 基金:贵州省科技创新人才团队项目(黔科合平台人才[2018]5615)
  • 语种:中文;
  • 页:XXHG201809007
  • 页数:6
  • CN:09
  • ISSN:11-5947/TB
  • 分类号:34-38+43
摘要
随着可再生能源的不断发展,电力系统的随机性对电网稳定运行的影响越来越大,文章中提出了一种在间歇风源的电力系统可用输电能力的概率评估方法。利用蒙特卡洛抽样法和拉丁超立方采样法这两种采样方法对含风电场的电力系统不确定因素进行采样,并基于最优潮流的方法计算各种场景下系统的可用输电能力。通过对结果的画图以及列表,并对这两种方法所得到的结果进行分析,从而得出一种更加贴近系统实际运行结果的计算方法。
        With the continuous development of renewable energy, the randomness of power system has an increasing impact on the stable operation of power grids. This paper proposes a probability assessment method for the available transmission capacity of power systems in intermittent wind sources. The Monte Carlo sampling method and the Latin hypercube sampling method are used to sample the uncertainties of the power system containing the wind farm, and the available power transmission capacity of the system in various scenarios is calculated based on the optimal power flow method. Through the drawing and list of the results, and the results obtained by the two methods are analyzed, a calculation method closer to the actual operation result of the system is obtained.
引文
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