Multi-Energy Microgrids Incorporating EV Integration: Optimal Design and Resilient Operation

  • Hasan Masrur*
  • , Miadreza Shafie-Khah
  • , M. Jahangir Hossain
  • , Tomonobu Senjyu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

There are numerous opportunities and challenges in integrating multiple energy sources, for example, electrical, heat, and electrified transportation. The operation of multi-energy sources needs to be coordinated and optimized to achieve maximum benefits and reliability. To address the electrical, thermal, and transportation electrification energy demands in a sustainable and environmentally friendly multi-energy microgrid, this paper presents a mixed integer linear optimization model that determines an optimized blend of energy sources (battery, combined heat and power units, thermal energy storage, gas boiler, and photovoltaic generators), size, and associated dispatch. The proposed energy management system seeks to minimize total annual expenses while simultaneously boosting system resilience during extended grid outages, based on an hourly electrical and thermal load profile. This approach has been tested in a hospital equipped with an EV charging station in Okinawa, Japan through several case studies. Following a M1/M2/c queuing model, the proposed grid-tied microgrid successfully integrates EVs into the system and assures continued and economic power supply even during grid failures in different weather conditions.

Original languageEnglish
Pages (from-to)3508-3518
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume13
Issue number5
DOIs
StatePublished - 1 Sep 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • EV
  • Multi-energy microgrids
  • grid outages
  • resilience
  • simulation and optimization

ASJC Scopus subject areas

  • General Computer Science

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