Optimized Site Selection for New Wind Farm Installations Based on Portfolio Theory and Geographical Information

Kohei Nishiyama, Kazuaki Iwamura, Yosuke Nakanishi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

An automated process for selecting sites for new wind farm installations is proposed. The region of interest is divided into a 1-km-square mesh, and geographical data such as altitude and wind speed are used to sort the mesh cells into regions that are feasible for wind farm installations. Before grouping the meshes, feasible meshes for constructing wind farms are extracted using a set of constraints. We tested two different constraints for grouping the feasible areas, either by maximizing the annual mean wind speed or by minimizing the covariance between the power outputs of each cell in the group. The first strategy is more attractive if the goal is to meet an expected level of power output each year, while the second strategy is intended to supply the most-stable power. Portfolio theory was then applied to the evaluate efficient-frontier curves of the two site-selection results from the mean and variance of the total expected power outputs. The analysis showed that grouping unit areas to maximize average wind speed most effectively suppresses variance in the expected output of an installation, and efficiently distributes the optimum wind farm locations.

本文言語English
ホスト出版物のタイトル2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538682326
DOI
出版ステータスPublished - 2019 2月
外部発表はい
イベント2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 - Washington, United States
継続期間: 2019 2月 182019 2月 21

出版物シリーズ

名前2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019

Conference

Conference2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
国/地域United States
CityWashington
Period19/2/1819/2/21

ASJC Scopus subject areas

  • 人工知能
  • ハードウェアとアーキテクチャ
  • エネルギー工学および電力技術
  • 電子工学および電気工学
  • 制御と最適化
  • 戦略と経営

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