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2021 | OriginalPaper | Chapter

Electric Vehicles and Renewable Energy Based on Coordinated and Optimal Dispatch

Authors : Tianyi Qu, Jiayin Guo

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

With the increasingly prominent energy and environmental issues, relevant experts and scholars began to focus on renewable energy. Based on the construction of the boundary conditions of electric vehicle charging and discharging, renewable energy, and petrochemical energy, a coordinated scheduling model of electric vehicles and renewable energy is constructed. The genetic algorithm is used to optimize the multi-source dispatching with the stable operation of power grid, the lowest user cost and the minimum load fluctuation as the objective function, and the example is verified and analyzed.

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previous chapter Coordinated Scheduling Optimization of V2G Technology and Renewable Energy for Electric Vehicles
next chapter Ship Monitoring System Based on Mobile Public Network
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Metadata
Title
Electric Vehicles and Renewable Energy Based on Coordinated and Optimal Dispatch
Authors
Tianyi Qu
Jiayin Guo
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_169

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