Title page for etd-0715117-095250


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URN etd-0715117-095250
Author Meng-Lin Tsai
Author's Email Address No Public.
Statistics This thesis had been viewed 5347 times. Download 374 times.
Department Electrical Engineering
Year 2016
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Wind Power Forecast and Regulation Reserve Requirement Analysis
Date of Defense 2017-07-26
Page Count 126
Keyword
  • Ramping Analysis
  • Intermittent
  • Wind Power Forecast
  • Neural Network
  • Regulation Reserve
  • Abstract Due to the intermittent nature of wind power, wind power generation is unstable. In
    order to reduce the impact of wind farm, additional operate reserve is requried. In this
    thesis, next day wind power forecast and historical wind power ramping analysis are
    applied to determine the required additional regulation reserve. Wind power forecasting
    model is established by using Artificial Neural Network (ANN). Wind power time series
    data and numerical weather prediction wind speed data are applied to day-ahead wind
    power prediction. In this study, through historical output data of wind farms, output
    ramping analysis is conducted. Depending on location, season and time, output variation
    are different. The analysis results are used to determine additional regulation reserve
    required. Finally, the impact of wind power generation on power system is analyzed by
    using PSSE package.
    Advisory Committee
  • Chin-Chung Wu - chair
  • Tsun-Yu Hsiao - co-chair
  • Jen-Hao Teng - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0715117-095250.pdf
  • Indicate in-campus at 0 year and off-campus access at 1 year.
    Date of Submission 2017-08-15

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