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Analysis of Distribution Systems in the presence of Electric Vehicles and optimal allocation of DGs considering power loss and VSI
  • +3
  • Shwetha S,
  • Sarvesh Babu RG,
  • Mithra Vinda Reddy K,
  • Narayanan K,
  • Anurag Sharma,
  • Alexander Aguila
Shwetha S
SASTRA Deemed University
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Sarvesh Babu RG
SASTRA Deemed University
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Mithra Vinda Reddy K
SASTRA Deemed University
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Narayanan K
SASTRA Deemed University
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Anurag Sharma
Newcastle University in Singapore
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Alexander Aguila
Universidad Politécnica Salesiana - Sede Quito

Corresponding Author:aaguila@ups.edu.ec

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Abstract

Electric Vehicles (EV) have the potential to completely transform the transportation industry, slash carbon emissions significantly, and pave the road for significant climate progress. According to surveys, worries regarding range and charging accessibility are a significant barrier to EV customer adoption. The electricity grid will be significantly impacted by EV charging. A coordinated charging approach that facilitates EV charging while avoiding the power grid from overloading is required to manage EV charging. In this work, the EVs are classified based on their charging capacity. This classification includes Car, truck and bus. With this a chargingdischarging scheme has been established using Real Time Pricing (RTP) for each hour for a 20 min block. Augmenting this, in the present work the power loss is analyzed when Distributed Generation (DG) units are installed after the EVs are located in the system for charging and discharging. The DG units are installed considering the Voltage Stability Index (VSI) and the power losses incurred due to the presence of EVs. The Monetary benefit of such an investment is analyzed for different topologies of IEEE-33 and 69 bus systems and compared with the existing methods where DGs are installed before the EVs are located in the system for charging and discharging.
24 Mar 2023Submitted to IET Generation, Transmission & Distribution
29 Mar 2023Submission Checks Completed
29 Mar 2023Assigned to Editor
02 Apr 2023Reviewer(s) Assigned
02 May 2023Review(s) Completed, Editorial Evaluation Pending
09 Jun 2023Editorial Decision: Revise Major
14 Jun 20231st Revision Received
16 Jun 2023Submission Checks Completed
16 Jun 2023Assigned to Editor
18 Jun 2023Reviewer(s) Assigned
04 Jul 2023Review(s) Completed, Editorial Evaluation Pending
05 Jul 2023Editorial Decision: Revise Major
14 Jul 20232nd Revision Received
18 Jul 2023Submission Checks Completed
18 Jul 2023Assigned to Editor
18 Jul 2023Reviewer(s) Assigned
31 Jul 2023Review(s) Completed, Editorial Evaluation Pending
02 Aug 2023Editorial Decision: Revise Minor
03 Aug 20233rd Revision Received
05 Aug 2023Submission Checks Completed
05 Aug 2023Assigned to Editor
15 Aug 2023Reviewer(s) Assigned
17 Aug 2023Review(s) Completed, Editorial Evaluation Pending
17 Aug 2023Editorial Decision: Accept