Development of V2G Simulator Considering System Uncertainty for Designing MILS

Deokho Gong, Mingyu Seo, Hyeongyu Son, Sekyung Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As Vehicle-to-grid(V2G) services are being actively researched, the importance of uncertainty parameters in V2G optimization is increasing. By considering the uncertainty, the aggregator can generate a more efficient and robust charging/discharging schedule for each purpose. The currently researched V2G methodologies are focused on the EV's own, and not considered sudden events such as plug errors and communication errors. This model proposes an improved simulator by assigning EV user behavior and transient events of EV and EVCS. Furthermore, this model analyzes cost, power, and battery status by comparing general V2G schedules with uncertainty-applied schedules through loop simulation.

Original languageEnglish
Title of host publication2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages411-415
Number of pages5
ISBN (Electronic)9781665490146
DOIs
StatePublished - 2023
Event13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023 - Tokyo, Japan
Duration: 25 Feb 202327 Feb 2023

Publication series

Name2023 13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023

Conference

Conference13th International Conference on Power, Energy and Electrical Engineering, CPEEE 2023
Country/TerritoryJapan
CityTokyo
Period25/02/2327/02/23

Keywords

  • binomial distribution
  • EV
  • EVCS
  • MILS
  • uncertainty

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