Combinatorial Optimization-based Hierarchical Management of Residential Energy Systems as Virtual Power Plant

Toranosuke Saito, Akira Yoshida, Takahiro Kashikawa, Koichi Kimura, Yoshiharu Amano

研究成果: Conference contribution

抄録

The supply-demand adjustment market in Japan will be opened in 2021, and it is expected to contribute to a virtual power plant (VPP) to gather distributed energy resources even from residential sector. The problem is to integrate residential sector that respond differently depending on the characteristics of each household, with keeping protecting consumer privacy. This article proposes a hierarchical management method that realizes VPP in residential sector. The proposed framework meets the requirements to join a market. The proposed method gets evaluated in numerical experiments. We aim to aggregate 1 MW controllable electricity with 4, 000 detached household. The results show that the proposed method could achieve an amount of electricity of the procurement target in computing time of 10 minutes.

本文言語English
ホスト出版物のタイトル2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1833-1839
ページ数7
ISBN(電子版)9781728110899
出版ステータスPublished - 2020 9 23
イベント59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020 - Chiang Mai, Thailand
継続期間: 2020 9 232020 9 26

出版物シリーズ

名前2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020

Conference

Conference59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
CountryThailand
CityChiang Mai
Period20/9/2320/9/26

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering

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