Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands

Mark Christianen; Maria Vlasiou; Bert Zwart

doi:10.5220/0011670600003396

Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands

Mark Christianen, Maria Vlasiou, Bert Zwart

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

1 Citation (Scopus)

32 Downloads (Pure)

Abstract

We use simulation to compare different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider the Distflow and the Linearized Distflow power flow models and we assume that EVs arrive at the network with an exponential rate, have an exponential charging requirement, and that voltage drops on the distribution network stay under control. We provide extensive numerical results investigating the effect of using different power flow models on the performance of the network.

Original language	English
Title of host publication	ICORES 2023 - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems
Editors	Federico Liberatore, Slawo Wesolkowski, Greg H. Parlier
Publisher	SCITEPRESS
Pages	167-174
Number of pages	8
ISBN (Print)	9789897586279
DOIs	https://doi.org/10.5220/0011670600003396
Publication status	Published - 2023
Event	12th International Conference on Operations Research and Enterprise Systems, ICORES 2023 - Lisbon, Portugal Duration: 19 Feb 2023 → 21 Feb 2023 Conference number: 12

Publication series

Name	International Conference on Operations Research and Enterprise Systems
ISSN (Electronic)	2184-4372

Conference

Conference	12th International Conference on Operations Research and Enterprise Systems, ICORES 2023
Abbreviated title	ICORES 2023
Country/Territory	Portugal
City	Lisbon
Period	19/02/23 → 21/02/23

Keywords

Bandwidth-Sharing Networks
Electric Vehicle Charging
Power Flow Models

UN SDGs

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

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10.5220/0011670600003396Licence: CC BY-NC-ND

116706Final published version, 491 KBLicence: CC BY-NC-ND

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Christianen, M., Vlasiou, M., & Zwart, B. (2023). Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands. In F. Liberatore, S. Wesolkowski, & G. H. Parlier (Eds.), ICORES 2023 - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems (pp. 167-174). (International Conference on Operations Research and Enterprise Systems). SCITEPRESS. https://doi.org/10.5220/0011670600003396

Christianen, Mark ; Vlasiou, Maria ; Zwart, Bert. / Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands. ICORES 2023 - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems. editor / Federico Liberatore ; Slawo Wesolkowski ; Greg H. Parlier. SCITEPRESS, 2023. pp. 167-174 (International Conference on Operations Research and Enterprise Systems).

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title = "Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands",

abstract = "We use simulation to compare different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider the Distflow and the Linearized Distflow power flow models and we assume that EVs arrive at the network with an exponential rate, have an exponential charging requirement, and that voltage drops on the distribution network stay under control. We provide extensive numerical results investigating the effect of using different power flow models on the performance of the network.",

keywords = "Bandwidth-Sharing Networks, Electric Vehicle Charging, Power Flow Models",

author = "Mark Christianen and Maria Vlasiou and Bert Zwart",

note = "Publisher Copyright: {\textcopyright} 2023 by SCITEPRESS–Science and Technology Publications, Lda.; 12th International Conference on Operations Research and Enterprise Systems, ICORES 2023, ICORES 2023 ; Conference date: 19-02-2023 Through 21-02-2023",

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language = "English",

isbn = "9789897586279",

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Christianen, M, Vlasiou, M & Zwart, B 2023, Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands. in F Liberatore, S Wesolkowski & GH Parlier (eds), ICORES 2023 - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems. International Conference on Operations Research and Enterprise Systems, SCITEPRESS, pp. 167-174, 12th International Conference on Operations Research and Enterprise Systems, ICORES 2023, Lisbon, Portugal, 19/02/23. https://doi.org/10.5220/0011670600003396

Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands. / Christianen, Mark; Vlasiou, Maria; Zwart, Bert.
ICORES 2023 - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems. ed. / Federico Liberatore; Slawo Wesolkowski; Greg H. Parlier. SCITEPRESS, 2023. p. 167-174 (International Conference on Operations Research and Enterprise Systems).

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

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T1 - Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands

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AU - Vlasiou, Maria

AU - Zwart, Bert

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PY - 2023

Y1 - 2023

N2 - We use simulation to compare different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider the Distflow and the Linearized Distflow power flow models and we assume that EVs arrive at the network with an exponential rate, have an exponential charging requirement, and that voltage drops on the distribution network stay under control. We provide extensive numerical results investigating the effect of using different power flow models on the performance of the network.

AB - We use simulation to compare different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider the Distflow and the Linearized Distflow power flow models and we assume that EVs arrive at the network with an exponential rate, have an exponential charging requirement, and that voltage drops on the distribution network stay under control. We provide extensive numerical results investigating the effect of using different power flow models on the performance of the network.

KW - Bandwidth-Sharing Networks

KW - Electric Vehicle Charging

KW - Power Flow Models

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Christianen M, Vlasiou M, Zwart B. Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands. In Liberatore F, Wesolkowski S, Parlier GH, editors, ICORES 2023 - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems. SCITEPRESS. 2023. p. 167-174. (International Conference on Operations Research and Enterprise Systems). doi: 10.5220/0011670600003396

Simulation Study for the Comparison of Power Flow Models for a Line Distribution Network with Stochastic Load Demands

Abstract

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Keywords

UN SDGs

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Polyhedral restrictions of feasibility regions in optimal power flow for distribution networks

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