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 language | English |
|---|---|
| Title of host publication | BS 2021 - Proceedings of Building Simulation 2021 |
| Subtitle of host publication | 17th Conference of IBPSA |
| Editors | Dirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen |
| Publisher | International Building Performance Simulation Association |
| Pages | 3284-3291 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781775052029 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium Duration: 2021 Sept 1 → 2021 Sept 3 |
Publication series
| Name | Building Simulation Conference Proceedings |
|---|---|
| ISSN (Print) | 2522-2708 |
Conference
| Conference | 17th IBPSA Conference on Building Simulation, BS 2021 |
|---|---|
| Country/Territory | Belgium |
| City | Bruges |
| Period | 21/9/1 → 21/9/3 |
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