Decentralized automatic load management of EV charging network

Jiawei Zhang, Shiwei Xia, Ka Wing Chan

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

Abstract

This paper presents a decentralized automatic load management scheme for managing an EV charging network using the consensus algorithm and a new capacity sharing protocol. The proposed consensus and capacity sharing protocols are capable of handling various charging situations with plug-and-play characteristics. They are distributed and scalable as global information is acquired only by collecting the local knowledge. By considering the charging stations as a multi-agent system (MAS), the proposed protocols also allow for event-triggered switching topology at any time such that on-demand charging requests can be met dynamically. Simulations under different charging scenarios and different protocols are fully evaluated, and demonstrated that the proposed scheme can effectively and efficiently handle large-scale EVs charging with plug-and-play characteristics.

Original languageEnglish
DOIs
Publication statusPublished - Nov 2018
Event11th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2018 - Hong Kong, China
Duration: 11 Nov 201815 Nov 2018

Conference

Conference11th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2018
CountryChina
CityHong Kong
Period11/11/1815/11/18

Keywords

  • Capacity sharing protocol
  • Consensus algorithm
  • Decentralized system
  • Multi-agent system (MAS)
  • Switching topology

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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