Decentralized Optimization and Power Flow Analysis for a Local Energy Community

Irena Dukovska; J.G. (Han) Slootweg; Nikolaos G. Paterakis

doi:10.1109/PowerTech46648.2021.9495059

Decentralized Optimization and Power Flow Analysis for a Local Energy Community

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

3 Citations (Scopus)

186 Downloads (Pure)

Abstract

The coordination of a community of electricity prosumers using mathematical optimization is studied in this paper. The resulting optimization problem is cast as a Mixed Integer Linear Program (MILP) with coupling constraints regarding the community exchanged power at the transformer level. Dual decomposition is used to divide the problem into subproblems that are solved by each prosumer, while limited information is exchanged with the community coordinator. This approach provides feasible solutions regarding the coupling constraints in a finite number of iterations. To evaluate the effectiveness of the proposed method in enforcing constraints at the transformer level, a case study using the IEEE European LV Test feeder is presented. The optimization results are further verified by performing a power flow analysis at different iterations. Finally, this analysis provides additional insights about the condition of the network that needs to be considered in the model in the future.

Original language	English
Title of host publication	2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-6654-3597-0
ISBN (Print)	978-1-6654-1173-8
DOIs	https://doi.org/10.1109/PowerTech46648.2021.9495059
Publication status	Published - 29 Jul 2021
Event	2021 IEEE PowerTech Madrid - Madrid, Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021

Conference

Conference	2021 IEEE PowerTech Madrid
Abbreviated title	PowerTech 2021
Country/Territory	Spain
City	Madrid
Period	28/06/21 → 2/07/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Decomposition methods
Distributed optimization
Local energy community
Mixed Integer Linear Programming (MILP)
Power flow

Access to Document

10.1109/PowerTech46648.2021.9495059

PowerTech_2021_ID_OACR_AcceptedFinal author version , 2.44 MBLicence: CC BY

Cite this

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title = "Decentralized Optimization and Power Flow Analysis for a Local Energy Community",

abstract = "The coordination of a community of electricity prosumers using mathematical optimization is studied in this paper. The resulting optimization problem is cast as a Mixed Integer Linear Program (MILP) with coupling constraints regarding the community exchanged power at the transformer level. Dual decomposition is used to divide the problem into subproblems that are solved by each prosumer, while limited information is exchanged with the community coordinator. This approach provides feasible solutions regarding the coupling constraints in a finite number of iterations. To evaluate the effectiveness of the proposed method in enforcing constraints at the transformer level, a case study using the IEEE European LV Test feeder is presented. The optimization results are further verified by performing a power flow analysis at different iterations. Finally, this analysis provides additional insights about the condition of the network that needs to be considered in the model in the future.",

keywords = "Decomposition methods, Distributed optimization, Local energy community, Mixed Integer Linear Programming (MILP), Power flow",

author = "Irena Dukovska and Slootweg, \{J.G. (Han)\} and Paterakis, \{Nikolaos G.\}",

year = "2021",

month = jul,

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doi = "10.1109/PowerTech46648.2021.9495059",

language = "English",

isbn = "978-1-6654-1173-8",

pages = "1--6",

booktitle = "2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2021 IEEE PowerTech Madrid , PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021",

}

Dukovska, I , Slootweg, JG & Paterakis, NG 2021, Decentralized Optimization and Power Flow Analysis for a Local Energy Community. in 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings., 9495059, Institute of Electrical and Electronics Engineers, pp. 1-6, 2021 IEEE PowerTech Madrid , Madrid, Spain, 28/06/21. https://doi.org/10.1109/PowerTech46648.2021.9495059

Decentralized Optimization and Power Flow Analysis for a Local Energy Community. / Dukovska, Irena ; Slootweg, J.G. (Han); Paterakis, Nikolaos G.
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. Institute of Electrical and Electronics Engineers, 2021. p. 1-6 9495059.

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

TY - GEN

T1 - Decentralized Optimization and Power Flow Analysis for a Local Energy Community

AU - Dukovska, Irena

AU - Slootweg, J.G. (Han)

AU - Paterakis, Nikolaos G.

PY - 2021/7/29

Y1 - 2021/7/29

N2 - The coordination of a community of electricity prosumers using mathematical optimization is studied in this paper. The resulting optimization problem is cast as a Mixed Integer Linear Program (MILP) with coupling constraints regarding the community exchanged power at the transformer level. Dual decomposition is used to divide the problem into subproblems that are solved by each prosumer, while limited information is exchanged with the community coordinator. This approach provides feasible solutions regarding the coupling constraints in a finite number of iterations. To evaluate the effectiveness of the proposed method in enforcing constraints at the transformer level, a case study using the IEEE European LV Test feeder is presented. The optimization results are further verified by performing a power flow analysis at different iterations. Finally, this analysis provides additional insights about the condition of the network that needs to be considered in the model in the future.

AB - The coordination of a community of electricity prosumers using mathematical optimization is studied in this paper. The resulting optimization problem is cast as a Mixed Integer Linear Program (MILP) with coupling constraints regarding the community exchanged power at the transformer level. Dual decomposition is used to divide the problem into subproblems that are solved by each prosumer, while limited information is exchanged with the community coordinator. This approach provides feasible solutions regarding the coupling constraints in a finite number of iterations. To evaluate the effectiveness of the proposed method in enforcing constraints at the transformer level, a case study using the IEEE European LV Test feeder is presented. The optimization results are further verified by performing a power flow analysis at different iterations. Finally, this analysis provides additional insights about the condition of the network that needs to be considered in the model in the future.

KW - Decomposition methods

KW - Distributed optimization

KW - Local energy community

KW - Mixed Integer Linear Programming (MILP)

KW - Power flow

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U2 - 10.1109/PowerTech46648.2021.9495059

DO - 10.1109/PowerTech46648.2021.9495059

M3 - Conference contribution

SN - 978-1-6654-1173-8

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BT - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 2021 IEEE PowerTech Madrid

Y2 - 28 June 2021 through 2 July 2021

ER -

Decentralized Optimization and Power Flow Analysis for a Local Energy Community

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UN SDGs

Keywords

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