Grid Services Provision from Batteries within Charging Stations by using a Stochastic Planning Method of the EVs Demand

Marjan Gjelaj*, Seyedmostafa Hashemi Toghroljerdi, Peter Bach Andersen, Chresten Træholt

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

95 Downloads (Pure)

Abstract

This paper presents a smart methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) charging demand. Direct-current fast-charging stations (DCFCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the DCFCSs is considered a smart option to prevent the power congestion during the peak hours as well as the grid
reinforcement costs due to DCFCSs. Therefore, the authors proposed a method to determine an optimal size of BES within DCFCSs considering a stochastic modelling approach to predict EV load demand based on the users’ behaviour and the probabilistic driving patterns. In addition, the BES in this paper is used as multifunctional equipment, which is able to provide ancillary services as peak shaving and frequency regulation. Finally, an economic analysis is carried out to evaluate the technical
and economic issues related to BES such as life-cycle costs versus the revenue provided by the transmission system operators (TSOs) for frequency regulation.
Original languageEnglish
JournalIET Smart Grid
Number of pages14
ISSN2515-2947
Publication statusAccepted/In press - 2019

Cite this

@article{a29adac3b3464d1dbc03c5fcd0de9819,
title = "Grid Services Provision from Batteries within Charging Stations by using a Stochastic Planning Method of the EVs Demand",
abstract = "This paper presents a smart methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) charging demand. Direct-current fast-charging stations (DCFCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the DCFCSs is considered a smart option to prevent the power congestion during the peak hours as well as the gridreinforcement costs due to DCFCSs. Therefore, the authors proposed a method to determine an optimal size of BES within DCFCSs considering a stochastic modelling approach to predict EV load demand based on the users’ behaviour and the probabilistic driving patterns. In addition, the BES in this paper is used as multifunctional equipment, which is able to provide ancillary services as peak shaving and frequency regulation. Finally, an economic analysis is carried out to evaluate the technicaland economic issues related to BES such as life-cycle costs versus the revenue provided by the transmission system operators (TSOs) for frequency regulation.",
author = "Marjan Gjelaj and Toghroljerdi, {Seyedmostafa Hashemi} and Andersen, {Peter Bach} and Chresten Tr{\ae}holt",
year = "2019",
language = "English",
journal = "IET Smart Grid",
issn = "2515-2947",
publisher = "Institution of Engineering and Technology",

}

TY - JOUR

T1 - Grid Services Provision from Batteries within Charging Stations by using a Stochastic Planning Method of the EVs Demand

AU - Gjelaj, Marjan

AU - Toghroljerdi, Seyedmostafa Hashemi

AU - Andersen, Peter Bach

AU - Træholt, Chresten

PY - 2019

Y1 - 2019

N2 - This paper presents a smart methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) charging demand. Direct-current fast-charging stations (DCFCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the DCFCSs is considered a smart option to prevent the power congestion during the peak hours as well as the gridreinforcement costs due to DCFCSs. Therefore, the authors proposed a method to determine an optimal size of BES within DCFCSs considering a stochastic modelling approach to predict EV load demand based on the users’ behaviour and the probabilistic driving patterns. In addition, the BES in this paper is used as multifunctional equipment, which is able to provide ancillary services as peak shaving and frequency regulation. Finally, an economic analysis is carried out to evaluate the technicaland economic issues related to BES such as life-cycle costs versus the revenue provided by the transmission system operators (TSOs) for frequency regulation.

AB - This paper presents a smart methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) charging demand. Direct-current fast-charging stations (DCFCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the DCFCSs is considered a smart option to prevent the power congestion during the peak hours as well as the gridreinforcement costs due to DCFCSs. Therefore, the authors proposed a method to determine an optimal size of BES within DCFCSs considering a stochastic modelling approach to predict EV load demand based on the users’ behaviour and the probabilistic driving patterns. In addition, the BES in this paper is used as multifunctional equipment, which is able to provide ancillary services as peak shaving and frequency regulation. Finally, an economic analysis is carried out to evaluate the technicaland economic issues related to BES such as life-cycle costs versus the revenue provided by the transmission system operators (TSOs) for frequency regulation.

M3 - Journal article

JO - IET Smart Grid

JF - IET Smart Grid

SN - 2515-2947

ER -