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Planning and Impact of Electric Vehicle Charging Stations in Distribution System Using Optimization Techniques

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Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid

Part of the book series: Energy Systems in Electrical Engineering ((ESIEE))

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Abstract

Global warming concerns have led developing as well as developed countries to promote the use of clean & green energy more than ever. Electric vehicle seems to be one of the most adaptable option to counter the concern. But to tackle environmental issues with electric vehicles, there are other factors that need to be addressed and understood. This chapter will showcase the impact of electric vehicle penetration on the power distribution grid and how the impact can be minimized using an optimization technique. The effects of introducing electric vehicles on the voltage profile, cost of generation, active and reactive power losses are discussed in view of emerging markets like India. A 69–bus system is considered for this study and different loads are applied to each branch of the system. A gradual increase in the load is provided and using AC- Optimal Power Flow (OPF) method, behaviour and impacts of different parameters is calculated and compared graphically. Finally, the Artificial Bee Colony (ABC) optimization technique has been employed to find the optimal location for EV charging stations Graphical comparisons are also done between base cases, scenario cases and systems with EV charging stations to reach a conclusion.

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Abbreviations

ABC:

Artificial Bee Colony

DG:

Distributed Generation

ENS:

Energy Not Supplied

ICE:

Internal Combustion Engine

OPF:

Optimal Power Flow

THD:

Total Harmonic Distortion

QGA:

Quantum Genetic Algorithm

BSS:

Battery Swap Station

EV:

Electric Vehicle

GHG:

Green House Gases

EVCS:

Electric Vehicle Charing Station

BPSO:

Butterfly Particle Swarm Optimization

LMP:

Locational Price Margin

QPmR:

Quasi Polynomial mapping based Rootfinder

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Authors and Affiliations

  1. National Institute of Technology, Durgapur, India

    Ramendra Kumar Rai & Aashish Kumar Bohre

  2. Visvesvaraya National Institute of Technology (VNIT), Nagpur, India

    Pradyumn Chaturvedi

  3. University of Agder, Norway, India

    Mohan Lal Kolhe

  4. Indian Institute of Technology (IIT), Kanpur, India

    Sri Niwas Singh

Authors
  1. Ramendra Kumar Rai
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  2. Aashish Kumar Bohre
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  3. Pradyumn Chaturvedi
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  4. Mohan Lal Kolhe
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  5. Sri Niwas Singh
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Corresponding author

Correspondence to Ramendra Kumar Rai .

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Editors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Aashish Kumar Bohre

  2. Department of Electrical Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India

    Pradyumn Chaturvedi

  3. Faculty of Engineering and Science, University of Agder, Kristiansand, Norway

    Mohan Lal Kolhe

  4. Department of Electrical Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh, India

    Sri Niwas Singh

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Rai, R.K., Bohre, A.K., Chaturvedi, P., Kolhe, M.L., Singh, S.N. (2022). Planning and Impact of Electric Vehicle Charging Stations in Distribution System Using Optimization Techniques. In: Bohre, A.K., Chaturvedi, P., Kolhe, M.L., Singh, S.N. (eds) Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid. Energy Systems in Electrical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-0979-5_9

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  • DOI: https://doi.org/10.1007/978-981-19-0979-5_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0978-8

  • Online ISBN: 978-981-19-0979-5

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