The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network

Saeed Zeynali, Nima Nasiri*, Sajad Najafi Ravadanegh, Mousa Marzband

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

In this chapter, a stochastic-robust hybrid optimization approach is proposed to evaluate the impact of high penetration of electric vehicles (EVs) in the electricity distribution network in the presence of combined heat and power (CHP), non-gas fired distributed units, and PVs with the aim of minimizing total operating costs. The vehicles have been congregated into fleets, utilizing the K-means clustering, then the stochastic programming (SP) method was deployed to deal with indefinite parameters such as their arrival time, departure time, and daily traveled miles. Furthermore, to integrate a risk measure into the problem, robust optimization method (RO) has been deployed in parallel to SP for the purpose of dealing with uncertain parameters that do not follow any specific probability distribution, such as solar energy production and energy price. The case studies evaluate the impact of smart and uncoordinated charge control methods.

Original languageEnglish
Title of host publicationElectric Vehicle Integration via Smart Charging
Subtitle of host publicationTechnology, Standards, Implementation, and Applications
EditorsVahid Vahidinasab, Behnam Mohammadi-Ivatloo
Place of PublicationSwitzerland
PublisherSpringer
Chapter9
Pages201-222
Edition1st
ISBN (Electronic)9783031059094
ISBN (Print)9783031059117, 9783031059087
DOIs
Publication statusPublished - 10 Sept 2022

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

Fingerprint

Dive into the research topics of 'The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network'. Together they form a unique fingerprint.

Cite this