Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles

Seigo Furuya; Yu Fujimoto; Noboru Murata; Yasuhiro Hayashi

doi:10.1016/j.egypro.2016.10.104

Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles

Seigo Furuya, Yu Fujimoto^*, Noboru Murata, Yasuhiro Hayashi

^*この研究の対応する著者

研究成果: Conference article › 査読

1 被引用数 (Scopus)

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Unexpected fluctuation of wind power output will become serious problems from the viewpoint of stable supply for an electricity grid. Operating a battery system installed in the grid for mitigating the short-term fluctuation is one of the new approaches for grid stabilization. In this paper, we propose a method of generating synthetic wind power profiles with high temporal resolution for power flow simulation which aims to estimate the impact of wind power fluctuation and specify the required battery system. We numerically show the plausibility of the synthetic wind power profiles from the viewpoints of statistical properties.

本文言語	English
ページ（範囲）	130-136
ページ数	7
ジャーナル	Energy Procedia
巻	99
DOI	https://doi.org/10.1016/j.egypro.2016.10.104
出版ステータス	Published - 2016
イベント	10th International Renewable Energy Storage Conference, IRES 2016 - Dusseldorf, Germany 継続期間: 2016 3月 15 → 2016 3月 17

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10.1016/j.egypro.2016.10.104

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title = "Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles",

abstract = "Unexpected fluctuation of wind power output will become serious problems from the viewpoint of stable supply for an electricity grid. Operating a battery system installed in the grid for mitigating the short-term fluctuation is one of the new approaches for grid stabilization. In this paper, we propose a method of generating synthetic wind power profiles with high temporal resolution for power flow simulation which aims to estimate the impact of wind power fluctuation and specify the required battery system. We numerically show the plausibility of the synthetic wind power profiles from the viewpoints of statistical properties.",

keywords = "Wind power generation, block bootstrap, short-term fluctuation, synthetic profile, time-series statistical behavior",

author = "Seigo Furuya and Yu Fujimoto and Noboru Murata and Yasuhiro Hayashi",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors. Published by Elsevier Ltd.; 10th International Renewable Energy Storage Conference, IRES 2016 ; Conference date: 15-03-2016 Through 17-03-2016",

year = "2016",

doi = "10.1016/j.egypro.2016.10.104",

language = "English",

volume = "99",

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TY - JOUR

T1 - Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles

AU - Furuya, Seigo

AU - Fujimoto, Yu

AU - Murata, Noboru

AU - Hayashi, Yasuhiro

PY - 2016

Y1 - 2016

N2 - Unexpected fluctuation of wind power output will become serious problems from the viewpoint of stable supply for an electricity grid. Operating a battery system installed in the grid for mitigating the short-term fluctuation is one of the new approaches for grid stabilization. In this paper, we propose a method of generating synthetic wind power profiles with high temporal resolution for power flow simulation which aims to estimate the impact of wind power fluctuation and specify the required battery system. We numerically show the plausibility of the synthetic wind power profiles from the viewpoints of statistical properties.

AB - Unexpected fluctuation of wind power output will become serious problems from the viewpoint of stable supply for an electricity grid. Operating a battery system installed in the grid for mitigating the short-term fluctuation is one of the new approaches for grid stabilization. In this paper, we propose a method of generating synthetic wind power profiles with high temporal resolution for power flow simulation which aims to estimate the impact of wind power fluctuation and specify the required battery system. We numerically show the plausibility of the synthetic wind power profiles from the viewpoints of statistical properties.

KW - Wind power generation

KW - block bootstrap

KW - short-term fluctuation

KW - synthetic profile

KW - time-series statistical behavior

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U2 - 10.1016/j.egypro.2016.10.104

DO - 10.1016/j.egypro.2016.10.104

M3 - Conference article

AN - SCOPUS:85029144660

SN - 1876-6102

VL - 99

SP - 130

EP - 136

JO - Energy Procedia

JF - Energy Procedia

T2 - 10th International Renewable Energy Storage Conference, IRES 2016

Y2 - 15 March 2016 through 17 March 2016

ER -

Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles

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