Issue |
E3S Web Conf.
Volume 634, 2025
2025 3rd International Forum on Clean Energy Engineering (FCEE2025)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 12 | |
Section | Integrated Energy Systems and Optimization | |
DOI | https://doi.org/10.1051/e3sconf/202563401002 | |
Published online | 20 June 2025 |
Multi-objective Optimal Dispatch of Off-grid Integrated Hydrogen Energy Utilization System
1 School of Automation, Wuhan University of Technology, Wuhan 430070, China
2 Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China
3 State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan 430070, China
* Corresponding author: dubanghua@whut.edu.cn
The integrated hydrogen energy utilization system (IHEUS) exhibits great potential for microgrid applications. However, its practical application faces significant challenges mainly due to the low energy conversion efficiency and rapid aging of the electrolyzers and fuel cells, especially when handling highly fluctuating power flows. To this end, this study proposes a multi-objective optimal dispatch scheme for off-grid IHEUS operations, where waste heat recovery and life cycle cost are taken into consideration to address the above problems. We first establish a first-principle model that describes the electric-hydrogen-heat output characteristics of the system, where the waste heat recovery and utilization systems have been focused. By correlating the aging behaviors and lifetime to voltage degradation, a life-cycle operational cost function is derived for a multi-objective optimization (MOO) model. In this MOO model, we adopt comprehensive energy efficiency and energy supply loss probability as the performance evaluation and optimization criteria so as to improve energy efficiency and supply stability, and the designed MOO problem is solved and ranked by a proposed NSGA-III joint entropy-weighted TOPSIS strategy. Comprehensive comparative studies exhibit that this proposed NSGA-III joint entropy-weighted TOPSIS strategy can effectively determine the optimal operation dispatch scheme. Consequently, a 46.13% reduction in operating costs can be achieved at the same the comprehensive energy efficiency and ESLP.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.