Charging schedule optimization method for electric buses with PV installed at bus stations: Sensitivity analysis of PV capacity based on real city data

Yuki Tomizawa, Yuto Ihara, Teru Miyazaki, Yutaka Iino, Yasuhiro Hayashi, Ryota Yamamoto

研究成果: Conference contribution

抄録

It has been discussed that electric vehicles should be utilized effectively as movable storage resources. In this research, public electric buses are focused on, which are expected to have controllability with low uncertainty but limitation caused by the rigid bus operation schedule. Recently we reported an analysis of the actual bus operation data and proposed a charging schedule optimization method. The purpose of this research is to create an optimization method that maximizes two indicators related to the benefits of the bus company. Moreover, the sensitivity of the photovoltaic capacity installed at the bus stations is analyzed. An optimization method was created by mixed integer linear programming, and sensitivity analysis simulation was conducted using real city data. This study is based on a realistic simulation with actual bus operation data in a target city. As a result, we confirmed the 107kWh (-15.3%) surplus reduction by the proposed optimization method and the trade-off relationship between the two indicators.

本文言語English
ホスト出版物のタイトルProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ157-162
ページ数6
ISBN(電子版)9781728185507
DOI
出版ステータスPublished - 2020 11
イベント2020 International Conference on Smart Grids and Energy Systems, SGES 2020 - Virtual, Perth, Australia
継続期間: 2020 11 232020 11 26

出版物シリーズ

名前Proceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020

Conference

Conference2020 International Conference on Smart Grids and Energy Systems, SGES 2020
国/地域Australia
CityVirtual, Perth
Period20/11/2320/11/26

ASJC Scopus subject areas

  • 人工知能
  • エネルギー工学および電力技術
  • 自動車工学
  • 電子工学および電気工学
  • 制御と最適化
  • 輸送

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