Optimal Charging Coordination of Electric Vehicles Considering Users Charging Behavior Using Particle Swarm Optimization (PSO)-Reference-Cited by-同舟云学术

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Optimal Charging Coordination of Electric Vehicles Considering Users Charging Behavior Using Particle Swarm Optimization (PSO)

Published:2024-03-04 Issue: Volume: Page:13-18
ISSN:
Container-title:2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA)
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Author:

Mohamad H.¹,Isa A.I.M.¹,Zaharuddin M.A.H.¹,Naidu K.¹,Salim N. A.¹,Yasin Z.M.²

Affiliation:

1. Universiti Teknologi MARA,Power System Planning and Operation Research Group (PoSPO), School of Electrical Engineering, College of Engineering,Shah Alam,Selangor,Malaysia,40450

2. Solar Research Institute (SRI), School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA,Shah Alam,Selangor,Malaysia,40450

Funder

Ministry of Higher Education

Universiti Teknologi MARA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498129/10498123/10499158.pdf?arnumber=10499158

Reference22 articles.

1. The rise of electric vehicles—2020 status and future expectations

2. Modeling and Simulation of EV charging station during Peak Load condition using PV and BES

3. Comprehensive benefits analysis of electric vehicle charging station integrated photovoltaic and energy storage

4. An Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization

5. Optimal Charging Scheduling of Electric Vehicles in Smart Grids by Heuristic Algorithms

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