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

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-162
Number of pages6
ISBN (Electronic)9781728185507
DOIs
Publication statusPublished - 2020 Nov
Event2020 International Conference on Smart Grids and Energy Systems, SGES 2020 - Virtual, Perth, Australia
Duration: 2020 Nov 232020 Nov 26

Publication series

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

Conference

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

Keywords

  • Electric bus
  • Electric vehicle
  • Mixed integer linear programming
  • Photovoltaic
  • Smart city

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Transportation

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