Energy vehicles as means of energy storage: impacts on energy markets and infrastructure

Mahsa Bagheri Tookanlou; Mousa Marzband; Ameena Saad Al-Sumaiti; Somayeh Asadi

doi:10.1016/B978-0-12-820095-7.00007-8

Energy vehicles as means of energy storage: impacts on energy markets and infrastructure

Mahsa Bagheri Tookanlou, Mousa Marzband, Ameena Saad Al-Sumaiti, Somayeh Asadi

Mathematics, Physics and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

Abstract

By increasing number of electric vehicles (EVs), which are charged in electric vehicle charging stations (EVCSs) in a distribution network, an optimal charging and discharging strategy that considers the distribution network constraints should be developed to guarantee economically and technically rewards of EVs and EVCSs. This study aims to develop a scheduling scheme to meet benefits of EVs and EVCSs in charging/discharging operation. Each EV plans its charging and discharging operation for 24 h ahead. The benefits of all agents in EV charging/discharging are taken into account by formulating a bilevel optimization problem that the upper level belongs to EVCSs and the inner level belongs to EVs. A scheduling system is responsible to collect the data from EVs and EVCSs and run the bilevel optimization problem and sends the results to EVs and EVCSs. For simulation purposes, a case study based on San Diego, USA, is presented to visualize and validate the modeling results. Six EVCSs are considered for charging and discharging of 400 EVs during 24 h.

Original language	English
Title of host publication	Energy Storage in Energy Markets
Subtitle of host publication	Uncertainties, Modelling, Analysis and Optimization
Editors	Behnam Mohammadi-Ivatloo, Amin Mohammadpour Shotorbani, Amjad Anvari-Moghaddam
Place of Publication	London
Publisher	Elsevier
Chapter	7
Pages	131-146
Number of pages	16
ISBN (Electronic)	9780128203835
ISBN (Print)	9780128200957
DOIs	https://doi.org/10.1016/B978-0-12-820095-7.00007-8
Publication status	Published - 30 Apr 2021

Keywords

Bilevel optimization problem
Charging/discharging operation
Electric vehicles

UN SDGs

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

Access to Document

10.1016/B978-0-12-820095-7.00007-8

Cite this

Bagheri Tookanlou, M., Marzband, M., Al-Sumaiti, A. S., & Asadi, S. (2021). Energy vehicles as means of energy storage: impacts on energy markets and infrastructure. In B. Mohammadi-Ivatloo, A. Mohammadpour Shotorbani, & A. Anvari-Moghaddam (Eds.), Energy Storage in Energy Markets: Uncertainties, Modelling, Analysis and Optimization (pp. 131-146). Elsevier. https://doi.org/10.1016/B978-0-12-820095-7.00007-8

Bagheri Tookanlou, Mahsa ; Marzband, Mousa ; Al-Sumaiti, Ameena Saad et al. / Energy vehicles as means of energy storage : impacts on energy markets and infrastructure. Energy Storage in Energy Markets: Uncertainties, Modelling, Analysis and Optimization. editor / Behnam Mohammadi-Ivatloo ; Amin Mohammadpour Shotorbani ; Amjad Anvari-Moghaddam. London : Elsevier, 2021. pp. 131-146

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title = "Energy vehicles as means of energy storage: impacts on energy markets and infrastructure",

abstract = "By increasing number of electric vehicles (EVs), which are charged in electric vehicle charging stations (EVCSs) in a distribution network, an optimal charging and discharging strategy that considers the distribution network constraints should be developed to guarantee economically and technically rewards of EVs and EVCSs. This study aims to develop a scheduling scheme to meet benefits of EVs and EVCSs in charging/discharging operation. Each EV plans its charging and discharging operation for 24 h ahead. The benefits of all agents in EV charging/discharging are taken into account by formulating a bilevel optimization problem that the upper level belongs to EVCSs and the inner level belongs to EVs. A scheduling system is responsible to collect the data from EVs and EVCSs and run the bilevel optimization problem and sends the results to EVs and EVCSs. For simulation purposes, a case study based on San Diego, USA, is presented to visualize and validate the modeling results. Six EVCSs are considered for charging and discharging of 400 EVs during 24 h.",

keywords = "Bilevel optimization problem, Charging/discharging operation, Electric vehicles",

author = "{Bagheri Tookanlou}, Mahsa and Mousa Marzband and Al-Sumaiti, {Ameena Saad} and Somayeh Asadi",

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Bagheri Tookanlou, M, Marzband, M, Al-Sumaiti, AS & Asadi, S 2021, Energy vehicles as means of energy storage: impacts on energy markets and infrastructure. in B Mohammadi-Ivatloo, A Mohammadpour Shotorbani & A Anvari-Moghaddam (eds), Energy Storage in Energy Markets: Uncertainties, Modelling, Analysis and Optimization. Elsevier, London, pp. 131-146. https://doi.org/10.1016/B978-0-12-820095-7.00007-8

Energy vehicles as means of energy storage: impacts on energy markets and infrastructure. / Bagheri Tookanlou, Mahsa; Marzband, Mousa; Al-Sumaiti, Ameena Saad et al.
Energy Storage in Energy Markets: Uncertainties, Modelling, Analysis and Optimization. ed. / Behnam Mohammadi-Ivatloo; Amin Mohammadpour Shotorbani; Amjad Anvari-Moghaddam. London: Elsevier, 2021. p. 131-146.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Energy vehicles as means of energy storage

T2 - impacts on energy markets and infrastructure

AU - Bagheri Tookanlou, Mahsa

AU - Marzband, Mousa

AU - Al-Sumaiti, Ameena Saad

AU - Asadi, Somayeh

N1 - Available online 7 May 2021

PY - 2021/4/30

Y1 - 2021/4/30

N2 - By increasing number of electric vehicles (EVs), which are charged in electric vehicle charging stations (EVCSs) in a distribution network, an optimal charging and discharging strategy that considers the distribution network constraints should be developed to guarantee economically and technically rewards of EVs and EVCSs. This study aims to develop a scheduling scheme to meet benefits of EVs and EVCSs in charging/discharging operation. Each EV plans its charging and discharging operation for 24 h ahead. The benefits of all agents in EV charging/discharging are taken into account by formulating a bilevel optimization problem that the upper level belongs to EVCSs and the inner level belongs to EVs. A scheduling system is responsible to collect the data from EVs and EVCSs and run the bilevel optimization problem and sends the results to EVs and EVCSs. For simulation purposes, a case study based on San Diego, USA, is presented to visualize and validate the modeling results. Six EVCSs are considered for charging and discharging of 400 EVs during 24 h.

AB - By increasing number of electric vehicles (EVs), which are charged in electric vehicle charging stations (EVCSs) in a distribution network, an optimal charging and discharging strategy that considers the distribution network constraints should be developed to guarantee economically and technically rewards of EVs and EVCSs. This study aims to develop a scheduling scheme to meet benefits of EVs and EVCSs in charging/discharging operation. Each EV plans its charging and discharging operation for 24 h ahead. The benefits of all agents in EV charging/discharging are taken into account by formulating a bilevel optimization problem that the upper level belongs to EVCSs and the inner level belongs to EVs. A scheduling system is responsible to collect the data from EVs and EVCSs and run the bilevel optimization problem and sends the results to EVs and EVCSs. For simulation purposes, a case study based on San Diego, USA, is presented to visualize and validate the modeling results. Six EVCSs are considered for charging and discharging of 400 EVs during 24 h.

KW - Bilevel optimization problem

KW - Charging/discharging operation

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BT - Energy Storage in Energy Markets

A2 - Mohammadi-Ivatloo, Behnam

A2 - Mohammadpour Shotorbani, Amin

A2 - Anvari-Moghaddam, Amjad

PB - Elsevier

CY - London

ER -

Bagheri Tookanlou M, Marzband M, Al-Sumaiti AS, Asadi S. Energy vehicles as means of energy storage: impacts on energy markets and infrastructure. In Mohammadi-Ivatloo B, Mohammadpour Shotorbani A, Anvari-Moghaddam A, editors, Energy Storage in Energy Markets: Uncertainties, Modelling, Analysis and Optimization. London: Elsevier. 2021. p. 131-146 doi: 10.1016/B978-0-12-820095-7.00007-8

Energy vehicles as means of energy storage: impacts on energy markets and infrastructure

Abstract

Keywords

UN SDGs

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