Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency

Nilufar Neyestani; Maziar Yazdani Damavandi; Tiago D.P. Mendes; João P.S. Catalão; Gianfranco Chicco

doi:10.1109/ENERGYCON.2016.7513952

Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency

Nilufar Neyestani, Maziar Yazdani Damavandi, Tiago D.P. Mendes, João P.S. Catalão, Gianfranco Chicco

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

1 Citation (Scopus)

Abstract

In this paper, a multi energy system (MES) model incorporating the traffic behavior of plug-in electric vehicles (PEVs) is proposed. It is assumed that in a micro MES two charging options are available for the PEVs: the home charging (HC) stations and the PEV parking lot (PL). The operation of these elements within the micro MES concept is studied. The matrix model of the micro MES is adapted to enable the integration of PL and HC. Moreover, the traffic flow of the PEVs is added to the model as an input to the micro MES. The model is tested for various case studies and possible traffic behavior between the PL and HC. The results show that the presence of these two elements leads to effective integration of reduced system operation costs.

Original language	English
Title of host publication	2016 IEEE International Energy Conference (ENERGYCON)
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-4673-8463-6
DOIs	https://doi.org/10.1109/ENERGYCON.2016.7513952
Publication status	Published - 18 Jul 2016
Externally published	Yes
Event	2016 IEEE International Energy Conference (ENERGYCON) - Leuven, Belgium Duration: 4 Apr 2016 → 8 Apr 2016

Conference

Conference	2016 IEEE International Energy Conference (ENERGYCON)
Country/Territory	Belgium
City	Leuven
Period	4/04/16 → 8/04/16

Keywords

State of charge
Cogeneration
Batteries
Resistance heating
Vehicles
Charging stations
Couplings

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10.1109/ENERGYCON.2016.7513952

Cite this

@inproceedings{2f32f6be63d549a296f1fbc6d687b6c2,

title = "Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency",

abstract = "In this paper, a multi energy system (MES) model incorporating the traffic behavior of plug-in electric vehicles (PEVs) is proposed. It is assumed that in a micro MES two charging options are available for the PEVs: the home charging (HC) stations and the PEV parking lot (PL). The operation of these elements within the micro MES concept is studied. The matrix model of the micro MES is adapted to enable the integration of PL and HC. Moreover, the traffic flow of the PEVs is added to the model as an input to the micro MES. The model is tested for various case studies and possible traffic behavior between the PL and HC. The results show that the presence of these two elements leads to effective integration of reduced system operation costs.",

keywords = "State of charge, Cogeneration, Batteries, Resistance heating, Vehicles, Charging stations, Couplings",

author = "Nilufar Neyestani and Damavandi, {Maziar Yazdani} and Mendes, {Tiago D.P.} and Catal{\~a}o, {Jo{\~a}o P.S.} and Gianfranco Chicco",

year = "2016",

month = jul,

day = "18",

doi = "10.1109/ENERGYCON.2016.7513952",

language = "English",

pages = "1--6",

booktitle = "2016 IEEE International Energy Conference (ENERGYCON)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2016 IEEE International Energy Conference (ENERGYCON) ; Conference date: 04-04-2016 Through 08-04-2016",

}

Neyestani, N, Damavandi, MY, Mendes, TDP, Catalão, JPS & Chicco, G 2016, Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency. in 2016 IEEE International Energy Conference (ENERGYCON)., 7513952, Institute of Electrical and Electronics Engineers, pp. 1-6, 2016 IEEE International Energy Conference (ENERGYCON), Leuven, Belgium, 4/04/16. https://doi.org/10.1109/ENERGYCON.2016.7513952

Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency. / Neyestani, Nilufar; Damavandi, Maziar Yazdani; Mendes, Tiago D.P. et al.
2016 IEEE International Energy Conference (ENERGYCON). Institute of Electrical and Electronics Engineers, 2016. p. 1-6 7513952.

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

TY - GEN

T1 - Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency

AU - Neyestani, Nilufar

AU - Damavandi, Maziar Yazdani

AU - Mendes, Tiago D.P.

AU - Catalão, João P.S.

AU - Chicco, Gianfranco

PY - 2016/7/18

Y1 - 2016/7/18

N2 - In this paper, a multi energy system (MES) model incorporating the traffic behavior of plug-in electric vehicles (PEVs) is proposed. It is assumed that in a micro MES two charging options are available for the PEVs: the home charging (HC) stations and the PEV parking lot (PL). The operation of these elements within the micro MES concept is studied. The matrix model of the micro MES is adapted to enable the integration of PL and HC. Moreover, the traffic flow of the PEVs is added to the model as an input to the micro MES. The model is tested for various case studies and possible traffic behavior between the PL and HC. The results show that the presence of these two elements leads to effective integration of reduced system operation costs.

AB - In this paper, a multi energy system (MES) model incorporating the traffic behavior of plug-in electric vehicles (PEVs) is proposed. It is assumed that in a micro MES two charging options are available for the PEVs: the home charging (HC) stations and the PEV parking lot (PL). The operation of these elements within the micro MES concept is studied. The matrix model of the micro MES is adapted to enable the integration of PL and HC. Moreover, the traffic flow of the PEVs is added to the model as an input to the micro MES. The model is tested for various case studies and possible traffic behavior between the PL and HC. The results show that the presence of these two elements leads to effective integration of reduced system operation costs.

KW - State of charge

KW - Cogeneration

KW - Batteries

KW - Resistance heating

KW - Vehicles

KW - Charging stations

KW - Couplings

U2 - 10.1109/ENERGYCON.2016.7513952

DO - 10.1109/ENERGYCON.2016.7513952

M3 - Conference contribution

SP - 1

EP - 6

BT - 2016 IEEE International Energy Conference (ENERGYCON)

PB - Institute of Electrical and Electronics Engineers

T2 - 2016 IEEE International Energy Conference (ENERGYCON)

Y2 - 4 April 2016 through 8 April 2016

ER -

Effect of plug-in electric vehicles traffic behavior on multi-energy demand's dependency

Abstract

Conference

Keywords

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Cite this