Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:B2L-B
Session:
Number:B2L-B-3
On Smoothing Effects of Wind Power via Koopman Mode Decomposition
Fredrik Raak, Yoshihiko Susuki, Kazuhisa Tsuboki, Masaya Kato, Takashi Hikihara,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
Here we apply a method known as Koopman Mode Decomposition (KMD) to data on simulated wind power outputs. We propose a new index which characterizes the smoothing of total wind power through the spectral decomposition achieved via KMD. Results show that KMD reconstructs the wind farm output well by a set of modes, and that the smoothing resembles the conventional index based on power spectral densities for some cases. Furthermore, it is demonstrated with the KMD-based index that the smoothing on hour-scale for distributed wind farms in Japan exhibits similarity to the improved smoothing achieved in a wind farm.