A distributed framework for optimal operation of EV aggregators problem

Arsalan Najafi; Michal Jasinski; Mahdi Pourakbari Kasmaei; Matti Lehtonen; Zbigniew Leonowicz

doi:10.1109/EEEIC/ICPSEurope51590.2021.9584601

A distributed framework for optimal operation of EV aggregators problem

Arsalan Najafi, Michal Jasinski, Mahdi Pourakbari Kasmaei, Matti Lehtonen, Zbigniew Leonowicz

Wroclaw University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The increasing integration of electric vehicles (EVs) into power systems is boosting future potentials for the smart grid due to the capability of storing and discharging electricity when it is required. Hence, this paper proposes a novel method to interact between two parking lots (PLs), while they exchange electricity. Each EV aggregator makes decision to trade electricity with the wholesale market (WM), selling electricity to EV owners as well as the amount of exchanging electricity with the other PL. Since EV aggregators share at least information with other agents, a distributed optimization model has to be used to manage each entity, independently, considering its local constraints. In this work, the alternating direction method of multipliers (ADMM) is utilized to coordinate the exchanging electricity between PLs. Numerical results reveal the effectiveness of the proposed distributed method to solve the EV aggregators problem by making the optimal decision in each hour.

Original language	English
Title of host publication	2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	978-1-6654-3613-7
ISBN (Print)	978-1-6654-3614-4
DOIs	https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584601
Publication status	Published - 13 Nov 2021
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe - Bari, Italy Duration: 7 Sept 2021 → 10 Sept 2021

Conference

Conference	IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe
Abbreviated title	EEEIC
Country/Territory	Italy
City	Bari
Period	07/09/2021 → 10/09/2021

Keywords

Electric potential
Uncertainty
Europe
Electric vehicles
Boosting
Convex functions
Smart grids

UN SDGs

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

Access to Document

10.1109/EEEIC/ICPSEurope51590.2021.9584601

Cite this

Najafi, A., Jasinski, M., Kasmaei, M. P., Lehtonen, M., & Leonowicz, Z. (2021). A distributed framework for optimal operation of EV aggregators problem. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (pp. 1-5). Article 9584601 IEEE. https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584601

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title = "A distributed framework for optimal operation of EV aggregators problem",

abstract = "The increasing integration of electric vehicles (EVs) into power systems is boosting future potentials for the smart grid due to the capability of storing and discharging electricity when it is required. Hence, this paper proposes a novel method to interact between two parking lots (PLs), while they exchange electricity. Each EV aggregator makes decision to trade electricity with the wholesale market (WM), selling electricity to EV owners as well as the amount of exchanging electricity with the other PL. Since EV aggregators share at least information with other agents, a distributed optimization model has to be used to manage each entity, independently, considering its local constraints. In this work, the alternating direction method of multipliers (ADMM) is utilized to coordinate the exchanging electricity between PLs. Numerical results reveal the effectiveness of the proposed distributed method to solve the EV aggregators problem by making the optimal decision in each hour.",

keywords = "Electric potential, Uncertainty, Europe, Electric vehicles, Boosting, Convex functions, Smart grids",

author = "Arsalan Najafi and Michal Jasinski and Kasmaei, {Mahdi Pourakbari} and Matti Lehtonen and Zbigniew Leonowicz",

year = "2021",

month = nov,

day = "13",

doi = "10.1109/EEEIC/ICPSEurope51590.2021.9584601",

language = "English",

isbn = "978-1-6654-3614-4",

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booktitle = "2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)",

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe , EEEIC ; Conference date: 07-09-2021 Through 10-09-2021",

}

Najafi, A, Jasinski, M, Kasmaei, MP , Lehtonen, M & Leonowicz, Z 2021, A distributed framework for optimal operation of EV aggregators problem. in 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)., 9584601, IEEE, pp. 1-5, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe , Bari, Italy, 07/09/2021. https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584601

A distributed framework for optimal operation of EV aggregators problem. / Najafi, Arsalan; Jasinski, Michal; Kasmaei, Mahdi Pourakbari et al.
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2021. p. 1-5 9584601.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Najafi, Arsalan

AU - Jasinski, Michal

AU - Kasmaei, Mahdi Pourakbari

AU - Lehtonen, Matti

AU - Leonowicz, Zbigniew

PY - 2021/11/13

Y1 - 2021/11/13

N2 - The increasing integration of electric vehicles (EVs) into power systems is boosting future potentials for the smart grid due to the capability of storing and discharging electricity when it is required. Hence, this paper proposes a novel method to interact between two parking lots (PLs), while they exchange electricity. Each EV aggregator makes decision to trade electricity with the wholesale market (WM), selling electricity to EV owners as well as the amount of exchanging electricity with the other PL. Since EV aggregators share at least information with other agents, a distributed optimization model has to be used to manage each entity, independently, considering its local constraints. In this work, the alternating direction method of multipliers (ADMM) is utilized to coordinate the exchanging electricity between PLs. Numerical results reveal the effectiveness of the proposed distributed method to solve the EV aggregators problem by making the optimal decision in each hour.

AB - The increasing integration of electric vehicles (EVs) into power systems is boosting future potentials for the smart grid due to the capability of storing and discharging electricity when it is required. Hence, this paper proposes a novel method to interact between two parking lots (PLs), while they exchange electricity. Each EV aggregator makes decision to trade electricity with the wholesale market (WM), selling electricity to EV owners as well as the amount of exchanging electricity with the other PL. Since EV aggregators share at least information with other agents, a distributed optimization model has to be used to manage each entity, independently, considering its local constraints. In this work, the alternating direction method of multipliers (ADMM) is utilized to coordinate the exchanging electricity between PLs. Numerical results reveal the effectiveness of the proposed distributed method to solve the EV aggregators problem by making the optimal decision in each hour.

KW - Electric potential

KW - Uncertainty

KW - Europe

KW - Electric vehicles

KW - Boosting

KW - Convex functions

KW - Smart grids

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M3 - Conference article in proceedings

SN - 978-1-6654-3614-4

SP - 1

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BT - 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

PB - IEEE

T2 - IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe

Y2 - 7 September 2021 through 10 September 2021

ER -

Najafi A, Jasinski M, Kasmaei MP , Lehtonen M, Leonowicz Z. A distributed framework for optimal operation of EV aggregators problem. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE. 2021. p. 1-5. 9584601 doi: 10.1109/EEEIC/ICPSEurope51590.2021.9584601

A distributed framework for optimal operation of EV aggregators problem

Abstract

Conference

Keywords

UN SDGs

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