Coordination for prosumers' electricity trading agents via distributed optimization

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

doi:10.1109/SEST.2019.8849065

Coordination for prosumers' electricity trading agents via distributed optimization

Irena Dukovska, Nikolaos G. Paterakis, Han J.G. Slootweg

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

6 Citations (Scopus)

52 Downloads (Pure)

Abstract

In this paper, the coordinated operation of agents representing residential household energy management systems in the electricity market is considered. Each agent has its local decision vector that may contain both continuous and discrete variables. The problem of minimizing the energy procurement cost of the community of agents is represented by a Mixed Integer Linear Program with local and global constraints. A dual decomposition method with a tightening of the global constraint is applied to solve the problem with guarantees for the feasibility of the obtained solutions. The problem is decomposed and solved in a distributed way with coordination by a community coordinator. The method is applied to a realistic case study of 15 households.

Original language	English
Title of host publication	SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	978-1-7281-1156-8
DOIs	https://doi.org/10.1109/SEST.2019.8849065
Publication status	Published - 1 Sept 2019
Event	2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 - Porto, Portugal Duration: 9 Sept 2019 → 11 Sept 2019

Conference

Conference	2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
Country/Territory	Portugal
City	Porto
Period	9/09/19 → 11/09/19

Keywords

Decomposition methods
Distributed algorithms
Local Energy Trading
Optimization
Prosumers

UN SDGs

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

Access to Document

10.1109/SEST.2019.8849065

SEST_2019_ID_OACR_AcceptedFinal author version , 639 KBLicence: CC BY

Cite this

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title = "Coordination for prosumers' electricity trading agents via distributed optimization",

abstract = "In this paper, the coordinated operation of agents representing residential household energy management systems in the electricity market is considered. Each agent has its local decision vector that may contain both continuous and discrete variables. The problem of minimizing the energy procurement cost of the community of agents is represented by a Mixed Integer Linear Program with local and global constraints. A dual decomposition method with a tightening of the global constraint is applied to solve the problem with guarantees for the feasibility of the obtained solutions. The problem is decomposed and solved in a distributed way with coordination by a community coordinator. The method is applied to a realistic case study of 15 households.",

keywords = "Decomposition methods, Distributed algorithms, Local Energy Trading, Optimization, Prosumers",

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

year = "2019",

month = sep,

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doi = "10.1109/SEST.2019.8849065",

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booktitle = "SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies",

publisher = "Institute of Electrical and Electronics Engineers",

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note = "2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 ; Conference date: 09-09-2019 Through 11-09-2019",

}

Dukovska, I , Paterakis, NG & Slootweg, HJG 2019, Coordination for prosumers' electricity trading agents via distributed optimization. in SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies., 8849065, Institute of Electrical and Electronics Engineers, Piscataway, 2nd International Conference on Smart Energy Systems and Technologies, SEST 2019, Porto, Portugal, 9/09/19. https://doi.org/10.1109/SEST.2019.8849065

Coordination for prosumers' electricity trading agents via distributed optimization. / Dukovska, Irena ; Paterakis, Nikolaos G.; Slootweg, Han J.G.
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies. Piscataway: Institute of Electrical and Electronics Engineers, 2019. 8849065.

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

TY - GEN

T1 - Coordination for prosumers' electricity trading agents via distributed optimization

AU - Dukovska, Irena

AU - Paterakis, Nikolaos G.

AU - Slootweg, Han J.G.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - In this paper, the coordinated operation of agents representing residential household energy management systems in the electricity market is considered. Each agent has its local decision vector that may contain both continuous and discrete variables. The problem of minimizing the energy procurement cost of the community of agents is represented by a Mixed Integer Linear Program with local and global constraints. A dual decomposition method with a tightening of the global constraint is applied to solve the problem with guarantees for the feasibility of the obtained solutions. The problem is decomposed and solved in a distributed way with coordination by a community coordinator. The method is applied to a realistic case study of 15 households.

AB - In this paper, the coordinated operation of agents representing residential household energy management systems in the electricity market is considered. Each agent has its local decision vector that may contain both continuous and discrete variables. The problem of minimizing the energy procurement cost of the community of agents is represented by a Mixed Integer Linear Program with local and global constraints. A dual decomposition method with a tightening of the global constraint is applied to solve the problem with guarantees for the feasibility of the obtained solutions. The problem is decomposed and solved in a distributed way with coordination by a community coordinator. The method is applied to a realistic case study of 15 households.

KW - Decomposition methods

KW - Distributed algorithms

KW - Local Energy Trading

KW - Optimization

KW - Prosumers

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U2 - 10.1109/SEST.2019.8849065

DO - 10.1109/SEST.2019.8849065

M3 - Conference contribution

BT - SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2nd International Conference on Smart Energy Systems and Technologies, SEST 2019

Y2 - 9 September 2019 through 11 September 2019

ER -

Coordination for prosumers' electricity trading agents via distributed optimization

Abstract

Conference

Keywords

UN SDGs

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