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 language | English |
|---|---|
| Pages (from-to) | 3508-3518 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 13 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 Sep 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2010-2012 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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