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Open Access

Incorporating Optimal Operation Strategies into Investment Planning for Wind/Electrolyser System

Yi Zheng, Shi You( ), Henrik W. Bindner, Marie Münster
Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Department of Technology, Management and Economics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
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Abstract

As a conducive and prevalent technique for producing green hydrogen, hybrid wind-based electrolyzer system requires both effective planning and operation to realize its techno-economic value. Majority of the existing studies are focused on either of these two, but none of them sufficiently emphasize on their interrelationship. In this paper, we propose a two-stage multi-objective optimization framework to reveal optimal investment plans considering various operational strategies, such as economic revenue maximization and green hydrogen production maximization. The results reveal that: 1) A trade-off exists between system investment and the capacity to accomplish optimal operational performance. For example, the system demands flexibility to boost operational profits, but this results in high investment costs. 2) Differentiated operation objectives generate different component capacities during the planning phase. 3) Regarding a wind-hydrogen system with gas storage, the Pareto optimal design manifesting the trade-off between system investment and prime operational performance can be actualized along the margins of a feasible solution.

Keywords

Hybrid wind-hydrogen systemmulti-objective optimizationoptimal operationplanningsizing

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CSEE Journal of Power and Energy Systems
Volume 8 Issue 2,
March 2022
Pages 347-359
DOI: 10.17775/CSEEJPES.2021.04240
Cite this article:
Zheng Y, You S, Bindner HW, et al. Incorporating Optimal Operation Strategies into Investment Planning for Wind/Electrolyser System. CSEE Journal of Power and Energy Systems, 2022, 8(2): 347-359. https://doi.org/10.17775/CSEEJPES.2021.04240

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Received: 02 June 2021
Revised: 12 October 2021
Accepted: 06 January 2022
Published: 14 February 2022
© 2021 CSEE
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