Multi-Objective Optimized Charging Strategy for Electric Vehicles Based on Demand Response-Reference-Cited by-同舟云学术

Multi-Objective Optimized Charging Strategy for Electric Vehicles Based on Demand Response

Published:2021-10-22 Issue: Volume: Page:
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Container-title:2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Tian Shuang¹,Du Xinhui²,Liang Yaojun³,Yang XiaoXi¹,Yin Jiahui¹,Ji Meiqin¹,Chen Yiyao¹,Gong Tiangang³

Affiliation:

1. Taiyuan University of Technology,School of Electrical and Power Engineering,Taiyuan,China

2. Taiyuan University of Technology,School of Electrical of Power Engineering,Taiyuan,China

3. Shanxi Fengxing measurement and Control Co., Ltd,General Manager's Office,Taiyuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9712847/9712848/09713319.pdf?arnumber=9713319

Reference17 articles.

1. An Optimal Guidance and Optimization Model for Intelligent Charging of Electric Vehicles;pengcheng;J Electrical Appliances and Energy Efficiency Management Technology,2018

2. Hierarchical real-time optimal scheduling of large-scale electric vehicle clusters;zhenning;J Automation of Electric Power Systems,2017

3. Electric vehicle charging load distribution strategy based on user willingness and travel rules;jie;J Power System Protection and Control,2015

4. Multi-objective optimization reconfiguration of active distribution network considering electric vehicle charging mode;tao;J Power System Protection and Control,2018

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