Evaluation of energy-loss minimum operations using real measurements and network data

Shingo Uchiyama, Yuji Takenobu, Jun Yoshinaga, Yasuhiro Hayashi, Masato Watanabe, Ryota Yamamoto

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Network reconfiguration for energy loss reduction is one of the important issues in distribution network operations. Conventionally, many research studies focused on developing configuration optimization methods. However, there are no quan titative reports on the potential of energy loss reduction in long- term operations based on real network and power measurement data. Therefore, this paper reveals energy loss reduction effects of the energy-loss minimum operation. For this evaluation, this paper applies an integrated evaluation method including load estimation, configuration optimization, and operational evalua tion. Experiments were conducted using two Japanese substation- scale networks (1435-bus network and 1817-bus network) with annual power measurement data. Current utility operations were compared to the practical energy-loss minimum operations. Compared with the current operation, the optimal operation changing remote and manual switches seasonally reduced energy loss up to 112.06 MWh (6.4%) and 73.48 MWh (3.2%) for 1435- bus network and 1817-bus network.

本文言語English
ホスト出版物のタイトル2017 IEEE Innovative Smart Grid Technologies - Asia
ホスト出版物のサブタイトルSmart Grid for Smart Community, ISGT-Asia 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781538649503
DOI
出版ステータスPublished - 2018 6月 8
イベント7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017 - Auckland, New Zealand
継続期間: 2017 12月 42017 12月 7

出版物シリーズ

名前2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017

Other

Other7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017
国/地域New Zealand
CityAuckland
Period17/12/417/12/7

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
  • 電子工学および電気工学
  • 制御と最適化
  • 安全性、リスク、信頼性、品質管理

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