Efficient Method to Plan EV Fast Charging Station in distribution System using Particle Swarm Optimization Techniques
| Main Authors: | Dhiraj Kumar Singh, Dr. Aashish Kumar Bohre |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5969691 |
Daftar Isi:
- Department of Electrical Engineering, National Institute of Technology Durgapur, Durgapur-713 209, West Bengal, India E-mail: dhirajklrsingh100@gmail.com, aashishkumar.bohre@ee.nitdgp.ac.in Manuscript received online 14 June 2020, revised and accepted 06 August 2020 Today the Electric Vehicles (EVs) market in India is growing rapidly but the efficient charging infrastructure or charging stations is for EVs still a big challenge. Due to the problem of depletion of convention fuel sources and increasing pollution by internal combustion (IC) engine based vehicles the EVs are more beneficial and cost effective and provide social benefits. Therefore adoption of EVs is the alternate source of transportation and the replacement to a as they emit zero carbon emission, energy efficient and are economical. For the expansion of EV market, the charging station infrastructure is very important to provide efficient energy for various EVs. This paper presents the optimal planning of charging infrastructure to establish efficient charging location by considering the Power losses, voltage and economic consideration in distributed system. The locations of Electric Vehicle Charging Station considering the network performance parameter are objectives in proposed multi-objective function. The minimum value of multi-objective function decides based on the system performance indices as power loss, charging cost, voltage deviation and reliability indices.