Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage

Off-grid renewable energy hydrogen production is a crucial approach to enhancing renewable energy utilization and improving power system stability. However, the strong stochastic fluctuations of wind and solar power pose significant challenges to electrolyzer reliability. While hybrid energy storage...

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Main Authors: Yiwen Geng, Qi Liu, Hao Zheng, Shitong Yan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/11/2970
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author Yiwen Geng
Qi Liu
Hao Zheng
Shitong Yan
author_facet Yiwen Geng
Qi Liu
Hao Zheng
Shitong Yan
author_sort Yiwen Geng
collection DOAJ
description Off-grid renewable energy hydrogen production is a crucial approach to enhancing renewable energy utilization and improving power system stability. However, the strong stochastic fluctuations of wind and solar power pose significant challenges to electrolyzer reliability. While hybrid energy storage systems (HESS) can mitigate power fluctuations, traditional power allocation rules based solely on electrolyzer power limits and HESS state of charge (SOC) boundaries result in insufficient energy supply capacity and unstable electrolyzer operation. To address this, this paper proposes a two-stage power optimization method integrating rule-based allocation with algorithmic optimization for wind–solar hydrogen production systems, considering reserved energy storage. In Stage I, hydrogen production power and HESS initial allocation are determined through the deep coupling of real-time electrolyzer operating conditions with reserved energy. Stage II employs an improved multi-objective particle swarm optimization (IMOPSO) algorithm to optimize HESS power allocation, minimizing unit hydrogen production cost and reducing average battery charge–discharge depth. The proposed method enhances hydrogen production stability and HESS supply capacity while reducing renewable curtailment rates and average production costs. Case studies demonstrate its superiority over three conventional rule-based power allocation methods.
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publishDate 2025-06-01
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series Energies
spelling doaj-art-e93c1a090a1e4166a2e1d0a30219f0d92025-08-20T03:46:49ZengMDPI AGEnergies1996-10732025-06-011811297010.3390/en18112970Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of StorageYiwen Geng0Qi Liu1Hao Zheng2Shitong Yan3School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaOff-grid renewable energy hydrogen production is a crucial approach to enhancing renewable energy utilization and improving power system stability. However, the strong stochastic fluctuations of wind and solar power pose significant challenges to electrolyzer reliability. While hybrid energy storage systems (HESS) can mitigate power fluctuations, traditional power allocation rules based solely on electrolyzer power limits and HESS state of charge (SOC) boundaries result in insufficient energy supply capacity and unstable electrolyzer operation. To address this, this paper proposes a two-stage power optimization method integrating rule-based allocation with algorithmic optimization for wind–solar hydrogen production systems, considering reserved energy storage. In Stage I, hydrogen production power and HESS initial allocation are determined through the deep coupling of real-time electrolyzer operating conditions with reserved energy. Stage II employs an improved multi-objective particle swarm optimization (IMOPSO) algorithm to optimize HESS power allocation, minimizing unit hydrogen production cost and reducing average battery charge–discharge depth. The proposed method enhances hydrogen production stability and HESS supply capacity while reducing renewable curtailment rates and average production costs. Case studies demonstrate its superiority over three conventional rule-based power allocation methods.https://www.mdpi.com/1996-1073/18/11/2970off-grid wind–solar hydrogen productionsystem power optimizationtwo-stage optimizationhybrid energy storagerenewable energy utilization enhancement
spellingShingle Yiwen Geng
Qi Liu
Hao Zheng
Shitong Yan
Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage
Energies
off-grid wind–solar hydrogen production
system power optimization
two-stage optimization
hybrid energy storage
renewable energy utilization enhancement
title Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage
title_full Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage
title_fullStr Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage
title_full_unstemmed Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage
title_short Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage
title_sort two stage collaborative power optimization for off grid wind solar hydrogen production systems considering reserved energy of storage
topic off-grid wind–solar hydrogen production
system power optimization
two-stage optimization
hybrid energy storage
renewable energy utilization enhancement
url https://www.mdpi.com/1996-1073/18/11/2970
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AT haozheng twostagecollaborativepoweroptimizationforoffgridwindsolarhydrogenproductionsystemsconsideringreservedenergyofstorage
AT shitongyan twostagecollaborativepoweroptimizationforoffgridwindsolarhydrogenproductionsystemsconsideringreservedenergyofstorage