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

doi:10.1007/978-3-031-05909-4_9

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

Mathematics, Physics and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	English
Title of host publication	Electric Vehicle Integration via Smart Charging
Subtitle of host publication	Technology, Standards, Implementation, and Applications
Editors	Vahid Vahidinasab, Behnam Mohammadi-Ivatloo
Place of Publication	Switzerland
Publisher	Springer
Chapter	9
Pages	201-222
Edition	1st
ISBN (Electronic)	9783031059094
ISBN (Print)	9783031059117, 9783031059087
DOIs	https://doi.org/10.1007/978-3-031-05909-4_9
Publication status	Published - 10 Sept 2022

Publication series

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

Keywords

active distribution network
combined heat and power
distributed units
Electric vehicle
electric vehicle fleets
K-means clustering
non-gas fired distributed units
penetration of the electric vehicles
photovoltaic
robust optimization
smart charge
stochastic programming
stochastic-robust hybrid optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-031-05909-4_9

Cite this

Zeynali, S., Nasiri, N., Ravadanegh, S. N., & Marzband, M. (2022). The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network. In V. Vahidinasab, & B. Mohammadi-Ivatloo (Eds.), Electric Vehicle Integration via Smart Charging: Technology, Standards, Implementation, and Applications (1st ed., pp. 201-222). (Green Energy and Technology). Springer. https://doi.org/10.1007/978-3-031-05909-4_9

Zeynali, Saeed ; Nasiri, Nima ; Ravadanegh, Sajad Najafi et al. / The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network. Electric Vehicle Integration via Smart Charging: Technology, Standards, Implementation, and Applications. editor / Vahid Vahidinasab ; Behnam Mohammadi-Ivatloo. 1st. ed. Switzerland : Springer, 2022. pp. 201-222 (Green Energy and Technology).

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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.",

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author = "Saeed Zeynali and Nima Nasiri and Ravadanegh, {Sajad Najafi} and Mousa Marzband",

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Zeynali, S, Nasiri, N, Ravadanegh, SN & Marzband, M 2022, The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network. in V Vahidinasab & B Mohammadi-Ivatloo (eds), Electric Vehicle Integration via Smart Charging: Technology, Standards, Implementation, and Applications. 1st edn, Green Energy and Technology, Springer, Switzerland, pp. 201-222. https://doi.org/10.1007/978-3-031-05909-4_9

The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network. / Zeynali, Saeed; Nasiri, Nima; Ravadanegh, Sajad Najafi et al.
Electric Vehicle Integration via Smart Charging: Technology, Standards, Implementation, and Applications. ed. / Vahid Vahidinasab; Behnam Mohammadi-Ivatloo. 1st. ed. Switzerland: Springer, 2022. p. 201-222 (Green Energy and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network

AU - Zeynali, Saeed

AU - Nasiri, Nima

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AU - Marzband, Mousa

PY - 2022/9/10

Y1 - 2022/9/10

N2 - 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.

AB - 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.

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KW - photovoltaic

KW - robust optimization

KW - smart charge

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A2 - Vahidinasab, Vahid

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PB - Springer

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ER -

Zeynali S, Nasiri N, Ravadanegh SN, Marzband M. The Role of Smart Electric Vehicle Charging in Optimal Decision-making of the Active Distribution Network. In Vahidinasab V, Mohammadi-Ivatloo B, editors, Electric Vehicle Integration via Smart Charging: Technology, Standards, Implementation, and Applications. 1st ed. Switzerland: Springer. 2022. p. 201-222. (Green Energy and Technology). Epub 2022 Sept 9. doi: 10.1007/978-3-031-05909-4_9

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

Abstract

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Keywords

UN SDGs

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