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Electrical Engineering

Modeling and simultaneous management of electric vehicle penetration and demand response to improve distribution network performance

  • 10-08-2020
  • Original Paper
Published in:
Authors
Alireze Bakhshinejad
Abdolreza Tavakoli
Maziar Mirhosseini Moghaddam
Published in
Electrical Engineering | Issue 1/2021

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Abstract

The usage of electric vehicles is daily increasing. It is predicted that the penetration of electric vehicles in the electrical network will grow steadily during the next few years. This growth of penetration causes major challenges for power system users, especially the distribution network. Firstly, increasing load consumption, especially during peak hours, and secondly, increasing the cost of developing a network to provide load, along with the operation moved away from the optimum point, are the major challenges of the penetration of electric vehicles. In this research, a solution is proposed not only to resolve these challenges but also to make an opportunity to improve the network parameters. In this study, the charging and discharging strategy along with two price-based and voltage-based load management programs are proposed to manage the penetration of electric vehicles for economic and technical purposes. The proposed plan is implemented by GAMS and MATLAB software on the distribution network, and finally, the results are evaluated.

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previous article Calculation of magnetizing and leakage inductances of induction machine using finite element method
next article Incorporating ramp problem into the expansion planning of distributed energy resources for improving flexibility of renewable-based distribution network using interval optimization
Title
Modeling and simultaneous management of electric vehicle penetration and demand response to improve distribution network performance
Authors
Alireze Bakhshinejad
Abdolreza Tavakoli
Maziar Mirhosseini Moghaddam
Publication date
10-08-2020
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 1/2021
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-020-01083-7
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