期刊论文详细信息
The Journal of Engineering
Calculating reserve power requirements from wind–power forecasts
  1    1    1    2    2 
[1] College of Informationand Electrical Engineering, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, People's Republic of China;Institute of Electric Power, Shenyang Institute of Engineering, 18 Puhe Road, Shenbei District Shenyang, People's Republic of China;
关键词: power grids;    power generation planning;    power generation reliability;    wind power plants;    load forecasting;    time 1.0 hour;    reserve power requirements calculations;    grid safety;    grid reliability;    RTS-96 dataset;    power supply system generation;    power generation planning;    wind–power forecasts;    system load forecasts;    wind–power fluctuations;    wind farms;   
DOI  :  10.1049/joe.2018.5395
来源: publisher
PDF
【 摘 要 】

Forecasting the output power of large wind farms is helpful for planning reserve capacity in a mixed-generation power supply system. After classifying the reserves needed in a power system, this research focuses on the reserve components that are affected by wind–power fluctuations, the regulating, and load-following reserves. Considering the uncertainties in system load forecasts and wind–power forecasts, a general model for calculating the reserve requirements of a power system is proposed. Then, ultra-short-term forecasts of wind–power output 1 h into the future were studied, and a practical method that uses 10-min data to forecast wind output with a rolling average was proposed to predict the amount of power generation in the next hour. Then, using the RTS-96 dataset from the IEEE as an example, the reserve capacity requirement for the power system is determined according to the forecast uncertainty. Accurate predictive models for wind forecasting can reduce the needed reserve capacity of the system while guaranteeing the reliability and safety of the grid.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO201910100745833ZK.pdf 1089KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:67次