A generation method of artificial fluctuation data of wind power output considering smoothing effect. Issue 1 (12th July 2019)

• Record Type: Journal Article
• Authors: Nishigami, Hiroki; Tsuji, Takao; Oyama, Tsutomu
• Is Part Of: Electrical engineering in Japan. Volume 208:Issue 1/2(2019)
• Page Start: 27
• Page End: 34
• Publication Date: 2019-07-12
• Subjects: autoregressive model -- correlation analysis -- FFT -- smoothing effect -- wind power; Electrical engineering -- Periodicals; 621.30952
• DOI: 10.1002/eej.23180
• Languages: English
• ISSNs: 0424-7760

Abstract

Abstract: To use realistic wind power fluctuation data is important in simulating frequency change of power systems. It is well known that the smoothing effect must be taken into account when generating the artificial wind power output. Therefore, this paper proposed a new method to generate fluctuation waveform considering smoothing effect based on random number to fulfill the correlation among multiple sites and autoregression model. The effectiveness of the proposed method was tested by using practical wind speed data measured in Tohoku district.