Asynchronous event driven distributed energy management using profile steering

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
3 Downloads (Pure)

Abstract

Distributed Energy Management methodologies with a scheduling approach based on predictions require means to avoid problems related to prediction errors. Various approaches deal with such prediction errors by applying a different online control mechanism, such as a double-sided auction. However, this results in two separate control mechanisms for the planning phase and the real-time control phase. In this paper, we present a two-phase approach with profile steering based control in both phases. The first phase is synchronous and uses predictions to create a planning. The second phase uses profile steering to schedule individual devices in an event driven and asynchronous manner. Simulation results show that this methodology results in an improved power quality and follows the planning better with a RMSE reduction of up to 34%. In addition, it provides more robustness to failure of connection and improves transparency of its actions to prosumers.
Original languageEnglish
Title of host publication2017 IEEE Manchester PowerTech
Number of pages6
ISBN (Electronic)978-1-5090-4237-1
DOIs
Publication statusPublished - 18 Jun 2017
Event12th IEEE PES PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University of Manchester, Manchester, United Kingdom
Duration: 18 Jun 201722 Jul 2017
Conference number: 12
http://ieee-powertech.org/

Conference

Conference12th IEEE PES PowerTech Conference
Abbreviated titlePowerTech 2017
CountryUnited Kingdom
CityManchester
Period18/06/1722/07/17
Internet address

Fingerprint

Energy management
Planning
Real time control
Power quality
Transparency
Scheduling

Keywords

  • Energy management
  • Optimization
  • Process control
  • Production
  • Real-time systems
  • Schedules
  • demand side management
  • load management

Cite this

@inproceedings{437f165b38a74d53b2cd3a3b778d0448,
title = "Asynchronous event driven distributed energy management using profile steering",
abstract = "Distributed Energy Management methodologies with a scheduling approach based on predictions require means to avoid problems related to prediction errors. Various approaches deal with such prediction errors by applying a different online control mechanism, such as a double-sided auction. However, this results in two separate control mechanisms for the planning phase and the real-time control phase. In this paper, we present a two-phase approach with profile steering based control in both phases. The first phase is synchronous and uses predictions to create a planning. The second phase uses profile steering to schedule individual devices in an event driven and asynchronous manner. Simulation results show that this methodology results in an improved power quality and follows the planning better with a RMSE reduction of up to 34{\%}. In addition, it provides more robustness to failure of connection and improves transparency of its actions to prosumers.",
keywords = "Energy management, Optimization, Process control, Production, Real-time systems, Schedules, demand side management, load management",
author = "G. Hoogsteen and A. Molderink and Hurink, {J. L.} and Smit, {G. J. M.}",
year = "2017",
month = "6",
day = "18",
doi = "10.1109/PTC.2017.7980986",
language = "English",
isbn = "978-1-5090-4238-8",
booktitle = "2017 IEEE Manchester PowerTech",

}

Hoogsteen, G, Molderink, A, Hurink, JL & Smit, GJM 2017, Asynchronous event driven distributed energy management using profile steering. in 2017 IEEE Manchester PowerTech., 7980986, 12th IEEE PES PowerTech Conference, Manchester, United Kingdom, 18/06/17. https://doi.org/10.1109/PTC.2017.7980986

Asynchronous event driven distributed energy management using profile steering. / Hoogsteen, G.; Molderink, A.; Hurink, J. L.; Smit, G. J. M.

2017 IEEE Manchester PowerTech. 2017. 7980986.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Asynchronous event driven distributed energy management using profile steering

AU - Hoogsteen, G.

AU - Molderink, A.

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AU - Smit, G. J. M.

PY - 2017/6/18

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N2 - Distributed Energy Management methodologies with a scheduling approach based on predictions require means to avoid problems related to prediction errors. Various approaches deal with such prediction errors by applying a different online control mechanism, such as a double-sided auction. However, this results in two separate control mechanisms for the planning phase and the real-time control phase. In this paper, we present a two-phase approach with profile steering based control in both phases. The first phase is synchronous and uses predictions to create a planning. The second phase uses profile steering to schedule individual devices in an event driven and asynchronous manner. Simulation results show that this methodology results in an improved power quality and follows the planning better with a RMSE reduction of up to 34%. In addition, it provides more robustness to failure of connection and improves transparency of its actions to prosumers.

AB - Distributed Energy Management methodologies with a scheduling approach based on predictions require means to avoid problems related to prediction errors. Various approaches deal with such prediction errors by applying a different online control mechanism, such as a double-sided auction. However, this results in two separate control mechanisms for the planning phase and the real-time control phase. In this paper, we present a two-phase approach with profile steering based control in both phases. The first phase is synchronous and uses predictions to create a planning. The second phase uses profile steering to schedule individual devices in an event driven and asynchronous manner. Simulation results show that this methodology results in an improved power quality and follows the planning better with a RMSE reduction of up to 34%. In addition, it provides more robustness to failure of connection and improves transparency of its actions to prosumers.

KW - Energy management

KW - Optimization

KW - Process control

KW - Production

KW - Real-time systems

KW - Schedules

KW - demand side management

KW - load management

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