Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow

Fulin Fan; Yuhong Tian; Kai Song; Chuanyu Sun; Jinhai Jiang; Zhen Dong; Jingran Zhang; Zhengjian Chen

doi:10.1007/978-981-96-2046-3_44

Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow

Fulin Fan
, Yuhong Tian
, Kai Song^*
, Chuanyu Sun
, Jinhai Jiang
, Zhen Dong
, Jingran Zhang
, Zhengjian Chen

^*Corresponding author for this work

School of Electrical Engineering and Automation

School of Electrical Engineering and Automation, Harbin Institute of Technology
State Key Laboratory of Low-carbon Thermal Power Generation Technology and Equipment
Suzhou Suyu Technology Co., Ltd.
Shenzhen Energy Group Company Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Grid-connected electrolysers can not only convert electricity into hydrogen for the use in other sectors, but also increase the operational flexibility of electrical networks by providing demand side management. This paper develops a scheduling model to optimise day-ahead electricity consumptions of electrolysers that are connected to a distribution network. The network status and unit outputs across the complete time horizon are simulated and coupled by the dynamic optimal power flow, which then optimises electrolyser imports to reduce renewable generation curtailments. Furthermore, the requirement on hydrogen production and the specific operational limits of electrolysers are respected by the scheduling model. The scheduling model is tested based on a 1 MW electrolyser system within a distribution network. The simulation results indicate that the electrolyser system is scheduled to effectively respond to renewable curtailments while meeting the hydrogen production requirement. In addition, the coordination of multiple electrolyser units within a system extends the suitable LF range of the system, which is more flexible to increase the use of renewable generation.

Original language	English
Title of host publication	The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems
Editors	Limin Jia, Yong Li, Xianfeng Xu, Yiming Zang, Longlong Zhang, Cancan Rong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	424-431
Number of pages	8
ISBN (Print)	9789819620456
DOIs	https://doi.org/10.1007/978-981-96-2046-3_44
State	Published - 2025
Event	International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024 - Xi'an, China Duration: 18 Oct 2024 → 20 Oct 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1318 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024
Country/Territory	China
City	Xi'an
Period	18/10/24 → 20/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Demand Side Management
Dynamic Optimal Power Flow
Grid-Connected Electrolyser
Hydrogen
Multiple-Unit Coordination
Scheduling

Access to Document

10.1007/978-981-96-2046-3_44

Cite this

Fan, F., Tian, Y., Song, K., Sun, C., Jiang, J., Dong, Z., Zhang, J., & Chen, Z. (2025). Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow. In L. Jia, Y. Li, X. Xu, Y. Zang, L. Zhang, & C. Rong (Eds.), The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems (pp. 424-431). (Lecture Notes in Electrical Engineering; Vol. 1318 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-2046-3_44

Fan, Fulin ; Tian, Yuhong ; Song, Kai et al. / Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow. The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. editor / Limin Jia ; Yong Li ; Xianfeng Xu ; Yiming Zang ; Longlong Zhang ; Cancan Rong. Springer Science and Business Media Deutschland GmbH, 2025. pp. 424-431 (Lecture Notes in Electrical Engineering).

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title = "Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow",

abstract = "Grid-connected electrolysers can not only convert electricity into hydrogen for the use in other sectors, but also increase the operational flexibility of electrical networks by providing demand side management. This paper develops a scheduling model to optimise day-ahead electricity consumptions of electrolysers that are connected to a distribution network. The network status and unit outputs across the complete time horizon are simulated and coupled by the dynamic optimal power flow, which then optimises electrolyser imports to reduce renewable generation curtailments. Furthermore, the requirement on hydrogen production and the specific operational limits of electrolysers are respected by the scheduling model. The scheduling model is tested based on a 1 MW electrolyser system within a distribution network. The simulation results indicate that the electrolyser system is scheduled to effectively respond to renewable curtailments while meeting the hydrogen production requirement. In addition, the coordination of multiple electrolyser units within a system extends the suitable LF range of the system, which is more flexible to increase the use of renewable generation.",

keywords = "Demand Side Management, Dynamic Optimal Power Flow, Grid-Connected Electrolyser, Hydrogen, Multiple-Unit Coordination, Scheduling",

author = "Fulin Fan and Yuhong Tian and Kai Song and Chuanyu Sun and Jinhai Jiang and Zhen Dong and Jingran Zhang and Zhengjian Chen",

note = "Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2025.; International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024 ; Conference date: 18-10-2024 Through 20-10-2024",

year = "2025",

doi = "10.1007/978-981-96-2046-3\_44",

language = "英语",

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publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "424--431",

editor = "Limin Jia and Yong Li and Xianfeng Xu and Yiming Zang and Longlong Zhang and Cancan Rong",

booktitle = "The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems",

address = "德国",

}

Fan, F, Tian, Y, Song, K , Sun, C , Jiang, J , Dong, Z, Zhang, J & Chen, Z 2025, Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow. in L Jia, Y Li, X Xu, Y Zang, L Zhang & C Rong (eds), The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. Lecture Notes in Electrical Engineering, vol. 1318 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 424-431, International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024, Xi'an, China, 18/10/24. https://doi.org/10.1007/978-981-96-2046-3_44

Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow. / Fan, Fulin; Tian, Yuhong; Song, Kai et al.
The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. ed. / Limin Jia; Yong Li; Xianfeng Xu; Yiming Zang; Longlong Zhang; Cancan Rong. Springer Science and Business Media Deutschland GmbH, 2025. p. 424-431 (Lecture Notes in Electrical Engineering; Vol. 1318 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow

AU - Fan, Fulin

AU - Tian, Yuhong

AU - Song, Kai

AU - Sun, Chuanyu

AU - Jiang, Jinhai

AU - Dong, Zhen

AU - Zhang, Jingran

AU - Chen, Zhengjian

N1 - Publisher Copyright: © Beijing Paike Culture Commu. Co., Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - Grid-connected electrolysers can not only convert electricity into hydrogen for the use in other sectors, but also increase the operational flexibility of electrical networks by providing demand side management. This paper develops a scheduling model to optimise day-ahead electricity consumptions of electrolysers that are connected to a distribution network. The network status and unit outputs across the complete time horizon are simulated and coupled by the dynamic optimal power flow, which then optimises electrolyser imports to reduce renewable generation curtailments. Furthermore, the requirement on hydrogen production and the specific operational limits of electrolysers are respected by the scheduling model. The scheduling model is tested based on a 1 MW electrolyser system within a distribution network. The simulation results indicate that the electrolyser system is scheduled to effectively respond to renewable curtailments while meeting the hydrogen production requirement. In addition, the coordination of multiple electrolyser units within a system extends the suitable LF range of the system, which is more flexible to increase the use of renewable generation.

AB - Grid-connected electrolysers can not only convert electricity into hydrogen for the use in other sectors, but also increase the operational flexibility of electrical networks by providing demand side management. This paper develops a scheduling model to optimise day-ahead electricity consumptions of electrolysers that are connected to a distribution network. The network status and unit outputs across the complete time horizon are simulated and coupled by the dynamic optimal power flow, which then optimises electrolyser imports to reduce renewable generation curtailments. Furthermore, the requirement on hydrogen production and the specific operational limits of electrolysers are respected by the scheduling model. The scheduling model is tested based on a 1 MW electrolyser system within a distribution network. The simulation results indicate that the electrolyser system is scheduled to effectively respond to renewable curtailments while meeting the hydrogen production requirement. In addition, the coordination of multiple electrolyser units within a system extends the suitable LF range of the system, which is more flexible to increase the use of renewable generation.

KW - Demand Side Management

KW - Dynamic Optimal Power Flow

KW - Grid-Connected Electrolyser

KW - Hydrogen

KW - Multiple-Unit Coordination

KW - Scheduling

UR - https://www.scopus.com/pages/publications/86000274701

U2 - 10.1007/978-981-96-2046-3_44

DO - 10.1007/978-981-96-2046-3_44

M3 - 会议稿件

AN - SCOPUS:86000274701

SN - 9789819620456

T3 - Lecture Notes in Electrical Engineering

SP - 424

EP - 431

BT - The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems

A2 - Jia, Limin

A2 - Li, Yong

A2 - Xu, Xianfeng

A2 - Zang, Yiming

A2 - Zhang, Longlong

A2 - Rong, Cancan

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

Y2 - 18 October 2024 through 20 October 2024

ER -

Fan F, Tian Y, Song K , Sun C , Jiang J , Dong Z et al. Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow. In Jia L, Li Y, Xu X, Zang Y, Zhang L, Rong C, editors, The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. Springer Science and Business Media Deutschland GmbH. 2025. p. 424-431. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-96-2046-3_44

Optimal Demand Side Management of Grid-Connected Electrolyser System Using Dynamic Optimal Power Flow

Abstract

Publication series

Conference

UN SDGs

Keywords

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