The design of distributed control system for a hybrid energy supply network in a residential community

Jaehyun Go, Yeonsook Heo

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

Abstract

This study analyzes the key factors of distributed control design in the context of hybrid energy supply network. Major design factors are the formulation of a control objective function, approach of system partitioning, and level of providing information. The energy network used as a case study is composed of photovoltaics, fuel cell system, electrolyzer, ground source heat pumps, and energy storage systems. For optimal control, the objective function was designed to consider characteristics of grid-independent network and hybrid energy sources. When the energy network is divided into electrical and thermal system parts for the distributed control, placing the fuel cell system in the thermal system part was found to be advantageous in terms of heat supply optimization. In the given system, the performance of distributed control using all control information can be close to centralized control, and the distributed control can be an attractive option in terms of computational efficiency. However, when stored power was insufficient, the performance of the distributed control was difficult to approach to the centralized control.

Original languageEnglish
Title of host publicationBS 2021 - Proceedings of Building Simulation 2021
Subtitle of host publication17th Conference of IBPSA
EditorsDirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen
PublisherInternational Building Performance Simulation Association
Pages3284-3291
Number of pages8
ISBN (Electronic)9781775052029
DOIs
Publication statusPublished - 2022
Event17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium
Duration: 2021 Sept 12021 Sept 3

Publication series

NameBuilding Simulation Conference Proceedings
ISSN (Print)2522-2708

Conference

Conference17th IBPSA Conference on Building Simulation, BS 2021
Country/TerritoryBelgium
CityBruges
Period21/9/121/9/3

Bibliographical note

Funding Information:
Lastly, the performance of distributed control using all control information can be close to centralized control, while when stored power was insufficient, the performance of the distributed control was difficult to approach to the centralized control. In addition, in the distributed control, optimization control variables were reduced due to system partitioning. This feature will be more effective according to optimization variables increases and the control time-step is reduced. Acknowledgement This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21HSCT-B157919-02). References Chicco, G., & Mancarella, P. (2009). Distributed multi-generation: A comprehensive view. Renewable and sustainable energy reviews, 13(3), 535-551.

Publisher Copyright:
© International Building Performance Simulation Association, 2022

ASJC Scopus subject areas

  • Building and Construction
  • Architecture
  • Modelling and Simulation
  • Computer Science Applications

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