中国电力 ›› 2013, Vol. 46 ›› Issue (12): 95-99.DOI: 10.11930/j.issn.1004-9649.2013.12.95.4

• 新能源 • 上一篇    下一篇

风电场容量可信度及其若干影响因素分析

高忠旭1, 毛安家1, 陈得治2, 宋云亭2   

  1. 1. 华北电力大学 电气与电子工程学院,北京 102206; 2. 中国电力科学研究院,北京 100192
  • 收稿日期:2013-09-23 出版日期:2013-12-23 发布日期:2015-12-10
  • 作者简介:高忠旭(1989—),男,江苏扬州人,硕士研究生,从事电力系统安全与可靠性分析研究。

Analysis on the Capacity Credit of a Wind Farm and its Influencing Factors

GAO Zhong-xu1, MAO An-jia1, CHEN De-zhi2, SONG Yun-ting2   

  1. 1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China; 2. China Electric Power Research Institute, Beijing 100192, China
  • Received:2013-09-23 Online:2013-12-23 Published:2015-12-10

摘要: 风电场的容量可信度是衡量其发电容量价值的基本指标,也是风电场规划选址的一个重要参考依据。为此,首先采用时间序列分析法模拟每小时的风速值,并结合风电机组的强迫停运率等数据,建立风电场的可靠性模型;其次,采用抛物线法计算风电场的有效载荷容量;最后利用序贯蒙特卡罗模拟法,研究风电场的容量可信度。该方法不仅可计及风速的时序性,还能准确评估系统的频率指标。在此基础上,通过IEEE-RTS 79标准算例仿真计算,对比分析采用不同指标衡量系统可靠性时,容量可信度计算结果的差异,并研究影响容量可信度大小的主要因素。

关键词: 风电场, 可靠性指标, 容量可信度, 自回归滑动平均模型

Abstract: The capacity credit of a wind farm is a basic index to evaluate the value of its power generation capacity, and it is also an important reference for location planning of wind farms. An autoregressive moving average time series model is used to simulate the hourly wind speeds. Based on the data of forced outage rate of a wind turbine generator, the reliability model of the wind farm is built. The parabola method is used to calculate the effective load-carrying capacity of the wind farm. The sequential Monte Carlo simulation approach is used to study the capacity credit, which not only facilitates the time series modeling of wind speeds, but also provides accurate frequency assessments of the system. Finally, the proposed method is tested with the IEEE-RTS 79 testing system, and the difference of capacity credits with different reliability indices and their affecting factors are also analyzed.

Key words: wind farm, reliability index, capacity credit, autoregressive-moving average (ARMA) model

中图分类号: