Multi-objective Optimization Approach for Coordinated Scheduling of Electric Vehicles-Wind Integrated Power Systems

Yuanzheng Li; Yong Zhao; Lei Wu; Zhigang Zeng

doi:10.1007/978-981-99-0799-1_9

Multi-objective Optimization Approach for Coordinated Scheduling of Electric Vehicles-Wind Integrated Power Systems

Yuanzheng Li
, Yong Zhao
, Lei Wu
, Zhigang Zeng

Department of Electrical and Computer Engineering

Huazhong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

It is well recognized that renewable energy and electric vehicles are widely deployed for adapting to our society in an environmental way [1–4].

Original language	English
Title of host publication	Engineering Applications of Computational Methods
Pages	183-208
Number of pages	26
DOIs	https://doi.org/10.1007/978-981-99-0799-1_9
State	Published - 2023

Publication series

Name	Engineering Applications of Computational Methods
Volume	14
ISSN (Print)	2662-3366
ISSN (Electronic)	2662-3374

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-981-99-0799-1_9

Cite this

@inbook{1b94863934b24a6e913f7413a82ca1c9,

title = "Multi-objective Optimization Approach for Coordinated Scheduling of Electric Vehicles-Wind Integrated Power Systems",

abstract = "It is well recognized that renewable energy and electric vehicles are widely deployed for adapting to our society in an environmental way [1–4].",

author = "Yuanzheng Li and Yong Zhao and Lei Wu and Zhigang Zeng",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",

year = "2023",

doi = "10.1007/978-981-99-0799-1\_9",

language = "English",

series = "Engineering Applications of Computational Methods",

pages = "183--208",

booktitle = "Engineering Applications of Computational Methods",

}

Multi-objective Optimization Approach for Coordinated Scheduling of Electric Vehicles-Wind Integrated Power Systems. / Li, Yuanzheng; Zhao, Yong; Wu, Lei et al.
Engineering Applications of Computational Methods. 2023. p. 183-208 (Engineering Applications of Computational Methods; Vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Multi-objective Optimization Approach for Coordinated Scheduling of Electric Vehicles-Wind Integrated Power Systems

AU - Li, Yuanzheng

AU - Zhao, Yong

AU - Wu, Lei

AU - Zeng, Zhigang

PY - 2023

Y1 - 2023

N2 - It is well recognized that renewable energy and electric vehicles are widely deployed for adapting to our society in an environmental way [1–4].

AB - It is well recognized that renewable energy and electric vehicles are widely deployed for adapting to our society in an environmental way [1–4].

UR - https://www.scopus.com/pages/publications/85159138598

UR - https://www.scopus.com/pages/publications/85159138598#tab=citedBy

U2 - 10.1007/978-981-99-0799-1_9

DO - 10.1007/978-981-99-0799-1_9

M3 - Chapter

AN - SCOPUS:85159138598

T3 - Engineering Applications of Computational Methods

SP - 183

EP - 208

BT - Engineering Applications of Computational Methods

ER -