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Pattern analysis on characteristics of wind speed distribution in wind farms

  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

At present the analysis on the characteristics of wind speed distribution, which is generally obtained from the statistic of sampled wind speed data, is mainly serviced to the wind farm planning or electric energy planning. However, the characteristics of wind speed distribution serviced to above-mentioned planning fields cannot fully cope with the demands under new conditions, such as the characteristics of wind speed distribution in shorter time periods, especially in those short time periods related to the operation and control of power grid. Based on different application environments, the patternized differences of characteristics of wind speed distribution in wind farm and main causes that may lead to the patternized differences are discussed, and from the probability density of wind speed as well as from the probability density distribution of conditional wind speed the indices, such as characteristic wind speed, shape factor, scale coefficient and probability deviation and so on, are extracted to observe and study the patternized differences due to different wind speed distribution. Results of analysis on characteristics of wind speed distribution in an actual wind farm show that there are evident patternized differences among the characteristics of wind speed distribution from the statistic based on different viewpoints; when characteristics of wind speed distribution is applied to solve different problems, it is necessary to choose the statistical law conforming to the problem.

Original languageEnglish
Pages (from-to)206-210
Number of pages5
JournalDianwang Jishu/Power System Technology
Volume34
Issue number9
StatePublished - Sep 2010
Externally publishedYes

Keywords

  • Confidence interval
  • Distribution characteristics
  • Pattern analysis
  • Probability
  • Wind farm

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