Optimization Framework for Peer-to-Peer Charging of Electric Vehicles in Multi-area Distribution Networks

Nand K. Meena, Jin Yang

Research output: Chapter in Book/Published conference outputConference publication

Abstract

In this article, a new optimization framework is introduced to facilitate peer-to-peer (P2P) electric vehicles (EVs) charging in different power distribution networks (PDNs) of the city. A concept of multi-area PDN is projected to optimize the EV charging while improving the performance of multiple PDNs simultaneously. Objectives of the model are to minimize system power loss and node voltage deviation by exploiting charging points, in multiple distribution systems, of different areas simultaneously. For real-life scenario, the proposed approach is implemented on eight PDNs, modeled based on available geographic information. To solve this optimization problem, an improved genetic algorithm is adopted. The effectiveness of proposed model is demonstrated by comparing the performance of these PDNs in different EV charging strategies.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-5386-8218-0
ISBN (Print)978-1-5386-8219-7
DOIs
Publication statusPublished - 21 Nov 2019
Event2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) - Bucharest, Romania
Duration: 29 Sep 20192 Oct 2019

Conference

Conference2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
CountryRomania
CityBucharest
Period29/09/192/10/19

Keywords

  • Distribution systems
  • electric vehicles
  • geographic information system
  • multi-area
  • optimization
  • peer-to-peer

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