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2021 | OriginalPaper | Chapter

Coordinated Scheduling Optimization of V2G Technology and Renewable Energy for Electric Vehicles

Authors : Xingyu Chen, Yuanchun Fan

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

Publisher: Springer Singapore

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Abstract

Based on the time-sharing price and the technology of interaction between power grid and electric vehicle, the V2G model of electric vehicle is established. Taking the minimum user cost and load fluctuation as the objective function, the charging and discharging model of electric vehicles, wind power generation, photovoltaic power generation and thermal power generation systems are constructed. When solving the optimal solution of the model, genetic algorithm is used. After the optimal solution is obtained, the optimization model can make use of the random residual power, reduce the abandoned air volume and light volume, and achieve the purpose of restraining the load fluctuation and reducing the user cost.

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previous chapter Evaluation Index System and Comprehensive Evaluation Method of Auxiliary Service in Regional Electricity Market
next chapter Electric Vehicles and Renewable Energy Based on Coordinated and Optimal Dispatch
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Metadata
Title
Coordinated Scheduling Optimization of V2G Technology and Renewable Energy for Electric Vehicles
Authors
Xingyu Chen
Yuanchun Fan
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_168

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