Basic study on application of real-time satellite-observed solar radiation data for centralized voltage control in distribution networks with PVs

Shunsuke Kawano*, Kohei Murakami, Shinya Yoshizawa, Yasuhiro Hayashi

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper presents an enhanced centralized voltage control method utilizing real-time satellite-observed solar radiation data for distribution networks with PVs. Conventional centralized voltage control methods cannot prevent voltage deviation between data acquisition periods when large voltage fluctuation occurs because of PV output fluctuation. This is because the tap positions are determined regardless of PV output although there is few risk of large voltage rise/drop when PV generates full/no power. The proposed method forecasts voltage fluctuation width by utilizing the real time solar radiation data, which are acquired every 30 minutes at grid points with a 1 km resolution, and determines tap positions of an on-load tap changer and step voltage regulators to maximize the minimum voltage margin between the forecasted voltage and the voltage limits. The numerical simulation utilizing actual measured PV output profile and solar radiation data will show that the proposed method enhanced the voltage control effectiveness.

本文言語English
ホスト出版物のタイトル2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538628904
DOI
出版ステータスPublished - 2017 10月 26
イベント2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States
継続期間: 2017 4月 232017 4月 26

出版物シリーズ

名前2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
2017-January

Other

Other2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
国/地域United States
CityWashington
Period17/4/2317/4/26

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • エネルギー工学および電力技術
  • 再生可能エネルギー、持続可能性、環境
  • 制御と最適化

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