Generic methodology for electrical grid resilience using V2S of large-scale electric bus depots
Publication date
2023-11-29
Document type
Konferenzbeitrag
Organisational unit
Conference
2023 12th International Conference on Power Science and Engineering (ICPSE): Eskisehir, Turkiye; [Online] : 22-24 September 2023
Project
KoLa
Book title
2023 12th International Conference on Power Science and Engineering : (ICPSE 2023) : September 22-24, 2023, Eskisehir, Turkey
First page
22
Last page
28
Peer-reviewed
✅
Part of the university bibliography
✅
DDC Class
620 Ingenieurwissenschaften
Keyword
Power system resilience
Critical infrastructure
V2S
Electric bus depots
MILP optimization
Abstract
The transition towards sustainable energy systems has led to an increasing integration of renewable energy sources and the electrification of transportation. As the adoption of electric vehicles (EVs) continues to grow, leveraging their capabilities to enhance the resilience of electrical grids becomes an intriguing possibility. EVs are capable of providing emergency power supply in a variety of situations. When traditional power sources are unavailable or unreliable, EVs can be used as backup power sources to provide electricity to homes, businesses, hospitals, and other critical infrastructure. One of the primary benefits of using EVs for emergency power supply is their ability to store large amounts of energy in their batteries. In addition to their energy storage capabilities, EVs can also be used as mobile power sources. Overall, the use of EVs for emergency power supply has the potential to improve preparation, response, and to provide a more reliable source of electricity during power outages and other emergencies. This study presents an optimization methodology of calculating possible support of electric bus depots in emergencies using Mixed-Integer Linear Programming (MILP). It targets simulating possible utilization of mobile energy storage in the improvement of power system resilience through Vehicle-to-Storage (V2S) implementation.
Description
ISBN der Druckausgabe: 979-8-3503-4239-0
Version
Published version
Access right on openHSU
Metadata only access