Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation

Flore  Verbist; Nanda Kishor Panda; Pedro Vergara Barrios; Peter Palensky

doi:10.1109/PESGM52003.2023.10252603

Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation

Flore Verbist, Nanda Kishor Panda, Pedro Vergara Barrios, Peter Palensky

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic network tariff. A detailed optimisation model is first developed for public charging electric vehicles in a representative Dutch low voltage (LV) distribution network, susceptible to congestion and voltage problems by 2050 without smart charging of EVs. Later, a detailed reflection is made to assess the influence of the modelled features on the distribution system operator (DSO), charge point operator (CPO) costs, and the EVs' final state-of-charge (SOC) for both mono- (V1G) and bi-directional (V2G) charging. Results show that the dynamic network tariff outperforms other flat tariffs by increasing valley-filling. Consequently, compared to regular day-ahead pricing, a significant reduction in the frequency of congestion in the lines is achieved. In addition, V2G ensures the joint optimum for different stakeholders causing adequate EV user satisfaction, decreased CPO costs compared to conventional charging and fewer violations of grid constraints for the DSOs.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-6654-6441-3
ISBN (Print)	978-1-6654-6442-0
DOIs	https://doi.org/10.1109/PESGM52003.2023.10252603
Publication status	Published - 2023
Event	2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States Duration: 16 Jul 2023 → 20 Jul 2023

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/Territory	United States
City	Orlando
Period	16/07/23 → 20/07/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

dynamic tariffs
EV
flexibility
OPF
smart charging
V2G

UN SDGs

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

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10.1109/PESGM52003.2023.10252603

Impact_of_Dynamic_Tariffs_for_Smart_EV_Charging_on_LV_Distribution_Network_OperationFinal published version, 884 KB

Cite this

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title = "Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation",

abstract = "With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic network tariff. A detailed optimisation model is first developed for public charging electric vehicles in a representative Dutch low voltage (LV) distribution network, susceptible to congestion and voltage problems by 2050 without smart charging of EVs. Later, a detailed reflection is made to assess the influence of the modelled features on the distribution system operator (DSO), charge point operator (CPO) costs, and the EVs' final state-of-charge (SOC) for both mono- (V1G) and bi-directional (V2G) charging. Results show that the dynamic network tariff outperforms other flat tariffs by increasing valley-filling. Consequently, compared to regular day-ahead pricing, a significant reduction in the frequency of congestion in the lines is achieved. In addition, V2G ensures the joint optimum for different stakeholders causing adequate EV user satisfaction, decreased CPO costs compared to conventional charging and fewer violations of grid constraints for the DSOs.",

keywords = "dynamic tariffs, EV, flexibility, OPF, smart charging, V2G",

author = "Flore Verbist and Panda, {Nanda Kishor} and {Vergara Barrios}, Pedro and Peter Palensky",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 ; Conference date: 16-07-2023 Through 20-07-2023",

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language = "English",

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Verbist, F, Panda, NK , Vergara Barrios, P & Palensky, P 2023, Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation. in Proceedings of the 2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Power and Energy Society General Meeting, IEEE, 2023 IEEE Power and Energy Society General Meeting, PESGM 2023, Orlando, United States, 16/07/23. https://doi.org/10.1109/PESGM52003.2023.10252603

Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation. / Verbist, Flore ; Panda, Nanda Kishor ; Vergara Barrios, Pedro et al.
Proceedings of the 2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE, 2023. (IEEE Power and Energy Society General Meeting).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation

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N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

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N2 - With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic network tariff. A detailed optimisation model is first developed for public charging electric vehicles in a representative Dutch low voltage (LV) distribution network, susceptible to congestion and voltage problems by 2050 without smart charging of EVs. Later, a detailed reflection is made to assess the influence of the modelled features on the distribution system operator (DSO), charge point operator (CPO) costs, and the EVs' final state-of-charge (SOC) for both mono- (V1G) and bi-directional (V2G) charging. Results show that the dynamic network tariff outperforms other flat tariffs by increasing valley-filling. Consequently, compared to regular day-ahead pricing, a significant reduction in the frequency of congestion in the lines is achieved. In addition, V2G ensures the joint optimum for different stakeholders causing adequate EV user satisfaction, decreased CPO costs compared to conventional charging and fewer violations of grid constraints for the DSOs.

AB - With a growing share of electric vehicles (EVs) in our distribution grids, the need for smart charging becomes indispensable to minimise grid reinforcement. To circumvent the associated capacity limitations, this paper evaluates the effectiveness of different levels of network constraints and different dynamic tariffs, including a dynamic network tariff. A detailed optimisation model is first developed for public charging electric vehicles in a representative Dutch low voltage (LV) distribution network, susceptible to congestion and voltage problems by 2050 without smart charging of EVs. Later, a detailed reflection is made to assess the influence of the modelled features on the distribution system operator (DSO), charge point operator (CPO) costs, and the EVs' final state-of-charge (SOC) for both mono- (V1G) and bi-directional (V2G) charging. Results show that the dynamic network tariff outperforms other flat tariffs by increasing valley-filling. Consequently, compared to regular day-ahead pricing, a significant reduction in the frequency of congestion in the lines is achieved. In addition, V2G ensures the joint optimum for different stakeholders causing adequate EV user satisfaction, decreased CPO costs compared to conventional charging and fewer violations of grid constraints for the DSOs.

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PB - IEEE

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Y2 - 16 July 2023 through 20 July 2023

ER -

Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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