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2023 | OriginalPaper | Chapter

8. Hybrid Interval-Stochastic Optimal Operation Framework of a Multi-carrier Microgrid in the Presence of Hybrid Electric and Hydrogen-Based Vehicles Intelligent Parking Lot

Authors : Masoud Agabalaye-Rahvar, Amir Mirzapour-Kamanaj, Kazem Zare, Amjad Anvari-Moghaddam

Published in: Energy Systems Transition

Publisher: Springer International Publishing

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Abstract

As to deliver sustainable and reliable energy to demands with low emission, a multi-carrier microgrid (MCMG) structure has been proposed. Hybrid electric and hydrogen-based vehicles (HEHVs) have been introduced to facilitate decarbonized and decentralized coupled energy systems for decision-makers. So, HEHVs intelligent parking lot (IPL) integrated with MCMG is an appropriate solution. Accordingly, the considered MCMG in this chapter supplies multi-energy demands (MEDs), i.e., electrical, thermal, and cooling, via various technologies besides exchanging power and natural gas from the respective upstream grids. The uncertainty of HEHVs’ driving patterns, generation of renewable energy sources (RESs), and consumption of MEDs are modeled via the scenario-based stochastic; however, an interval-based optimization approach is taken for the market price uncertainty. Consequently, numerical results indicated the effectiveness of the introduced hybrid interval-stochastic model in which the deviation of overall operation cost is reduced up to 67.47%, while the average cost approximately is increased up to 1.87%.

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previous chapter Robust Energy Management of Virtual Energy Hub Considering Intelligent Parking Lots for the Plug-In Hybrid Electric Vehicles
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Metadata
Title
Hybrid Interval-Stochastic Optimal Operation Framework of a Multi-carrier Microgrid in the Presence of Hybrid Electric and Hydrogen-Based Vehicles Intelligent Parking Lot
Authors
Masoud Agabalaye-Rahvar
Amir Mirzapour-Kamanaj
Kazem Zare
Amjad Anvari-Moghaddam
Copyright Year
2023
Book
Energy Systems Transition

Print ISBN: 978-3-031-22185-9

Electronic ISBN: 978-3-031-22186-6

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-22186-6_8