A Cost-Effective Corona-Virus Search Optimization Based Approach to Joint Expansion Planning of Distribution Networks with Heavy-Duty Electric Truck Dedicated Urban Charging Stations-Reference-Cited by-同舟云学术

A Cost-Effective Corona-Virus Search Optimization Based Approach to Joint Expansion Planning of Distribution Networks with Heavy-Duty Electric Truck Dedicated Urban Charging Stations

Published:2024-06-27 Issue: Volume:12 Page:1-7
ISSN:
Container-title:2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Shayeghi Hossein¹,Zare Peyman¹,Davoudkhani Iraj Faraji¹,Bizon Nicu²,Figiel Adam³,Szumny Antoni⁴

Affiliation:

1. University of Mohaghegh Ardabili,Energy Management Research Center,Ardabil,Iran

2. The National University of Science and Technology Politehnica Bucharest, Piteşti University Centre,Pitesti,Romania

3. Institute of Agricultural Engineering, Wrocław University of Environmental and Life Sciences, Chełmońskiego 37a,Wrocław,Poland,51-630

4. Wroclaw University of Environmental and Life Sciences, CK Norwida 25,Department of Food Chemistry and Biocatalysis,Poland,50-375

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606968/10606970/10607540.pdf?arnumber=10607540

Reference19 articles.

1. Multi-Objective Optimization for Simultaneous Optimal Sizing & Placement of DGs and D-STATCOM in Distribution Networks Using Artificial Rabbits Optimization

2. Investigating the Impacts of Electric Vehicles on Iran's Distribution Network

3. A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging

4. Allocation of Plug-In Vehicles' Parking Lots in Distribution Systems Considering Network-Constrained Objectives

5. Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems