Coordination for prosumers' electricity trading agents via distributed optimization

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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 languageEnglish
Title of host publicationSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-7281-1156-8
DOIs
Publication statusPublished - 1 Sep 2019
Event2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 - Porto, Portugal
Duration: 9 Sep 201911 Sep 2019

Conference

Conference2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
CountryPortugal
CityPorto
Period9/09/1911/09/19

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Keywords

  • Decomposition methods
  • Distributed algorithms
  • Local Energy Trading
  • Optimization
  • Prosumers

Cite this

Dukovska, I., Paterakis, N. G., & Slootweg, H. J. G. (2019). Coordination for prosumers' electricity trading agents via distributed optimization. In SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies [8849065] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SEST.2019.8849065