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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE Innovative Smart Grid Technologies - Asia
Subtitle of host publicationSmart Grid for Smart Community, ISGT-Asia 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538649503
DOIs
Publication statusPublished - 2018 Jun 8
Event7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017 - Auckland, New Zealand
Duration: 2017 Dec 42017 Dec 7

Publication series

Name2017 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
Country/TerritoryNew Zealand
CityAuckland
Period17/12/417/12/7

Keywords

  • Energy loss minimization
  • Load estimation
  • Net work reconfiguration
  • Radial distribution network
  • Tabu search

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Safety, Risk, Reliability and Quality

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