Demand side management energy management system for distributed networks

Filipe A. Barata, José M. Igreja, Rui Neves-Silva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in house-hold or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach that includes an auction and a shifting load strategy. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. The developed solution is explained and applied to different scenarios wherein the results illustrate the benefits of the proposed approach.

Original languageEnglish
Title of host publicationTechnological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings
EditorsL. M. Camarinha-Matos , A. .J. Falcão , N. Vafaei , S. Najdi
Place of PublicationCham
PublisherSpringer International Publishing AG
Pages455-471
Number of pages17
ISBN (Electronic)978-3-319-31165-4
ISBN (Print)978-331931164-7
DOIs
Publication statusPublished - 1 Jan 2016
Event7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 - Costa de Caparica, Portugal
Duration: 11 Apr 201613 Apr 2016

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer International Publishing AG
Volume470
ISSN (Print)1868-4238

Conference

Conference7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016
CountryPortugal
CityCosta de Caparica
Period11/04/1613/04/16

Fingerprint

Management system
Energy management
Demand side management
Energy resources
Thermal comfort
Temperature
Management control
Energy
Multi-agent model
Scenarios
Integrated approach
Energy storage
Car
Energy systems
Energy sources
Household
Auctions

Keywords

  • DMPC
  • DSM
  • Energy auction
  • Energy efficiency
  • Intermittent energy resource
  • Limited energy resource
  • Shifting loads

Cite this

Barata, F. A., Igreja, J. M., & Neves-Silva, R. (2016). Demand side management energy management system for distributed networks. In L. M. Camarinha-Matos , A. . J. Falcão , N. Vafaei , & S. Najdi (Eds.), Technological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings (pp. 455-471). (IFIP Advances in Information and Communication Technology; Vol. 470). Cham: Springer International Publishing AG. https://doi.org/10.1007/978-3-319-31165-4_43
Barata, Filipe A. ; Igreja, José M. ; Neves-Silva, Rui. / Demand side management energy management system for distributed networks. Technological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings. editor / L. M. Camarinha-Matos ; A. .J. Falcão ; N. Vafaei ; S. Najdi . Cham : Springer International Publishing AG, 2016. pp. 455-471 (IFIP Advances in Information and Communication Technology).
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Barata, FA, Igreja, JM & Neves-Silva, R 2016, Demand side management energy management system for distributed networks. in LM Camarinha-Matos , AJ Falcão , N Vafaei & S Najdi (eds), Technological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings. IFIP Advances in Information and Communication Technology, vol. 470, Springer International Publishing AG, Cham, pp. 455-471, 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Costa de Caparica, Portugal, 11/04/16. https://doi.org/10.1007/978-3-319-31165-4_43

Demand side management energy management system for distributed networks. / Barata, Filipe A.; Igreja, José M.; Neves-Silva, Rui.

Technological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings. ed. / L. M. Camarinha-Matos ; A. .J. Falcão ; N. Vafaei ; S. Najdi . Cham : Springer International Publishing AG, 2016. p. 455-471 (IFIP Advances in Information and Communication Technology; Vol. 470).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Demand side management energy management system for distributed networks

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AU - Igreja, José M.

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N2 - This paper is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in house-hold or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach that includes an auction and a shifting load strategy. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. The developed solution is explained and applied to different scenarios wherein the results illustrate the benefits of the proposed approach.

AB - This paper is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in house-hold or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach that includes an auction and a shifting load strategy. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. The developed solution is explained and applied to different scenarios wherein the results illustrate the benefits of the proposed approach.

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KW - Energy efficiency

KW - Intermittent energy resource

KW - Limited energy resource

KW - Shifting loads

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M3 - Conference contribution

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T3 - IFIP Advances in Information and Communication Technology

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A2 - Camarinha-Matos , L. M.

A2 - Falcão , A. .J.

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A2 - Najdi , S.

PB - Springer International Publishing AG

CY - Cham

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Barata FA, Igreja JM, Neves-Silva R. Demand side management energy management system for distributed networks. In Camarinha-Matos LM, Falcão AJ, Vafaei N, Najdi S, editors, Technological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings. Cham: Springer International Publishing AG. 2016. p. 455-471. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-31165-4_43