Next Article in Journal
Towards Sustainable Biopolymer Innovation: A Review of Opuntia ficus-indica Mucilage
Previous Article in Journal
Selective Adsorption of Rare-Earth Elements: Loading and Stripping Behavior of the 2D MOF NCU-1 Across pH and Time Domains
Previous Article in Special Issue
Optimization of Electricity–Carbon Coordinated Scheduling Process for Virtual Power Plants Based on an Improved Snow Ablation Optimizer Algorithm
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Processes
Volume 13
Issue 12
10.3390/pr13123838
processes-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Shared Power–Hydrogen Energy Storage Capacity Planning and Economic Assessment for Renewable Energy Bases

by
Peidong Han
1,
Yankai Zhu
2,
Lifei Ma
2,3,*,
Shilin Ru
4,
Yinzhang Peng
5,
Wenxin Li
5,
Wenhui Shi
1 and
Meimei Zhang
4
1
China Electric Power Research Institute Company, Beijing 100192, China
2
School of Control and Computer Science, North China Electric Power University, Beijing 102206, China
3
China Electric Power Planning & Engineering Institute, Beijing 100120, China
4
School of Economics and Management, North China Electric Power University, Beijing 102206, China
5
Electric Power Research Institute of State Grid Xinjiang Electric Power Company, Urumqi 830011, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(12), 3838; https://doi.org/10.3390/pr13123838 (registering DOI)
Submission received: 15 October 2025 / Revised: 21 November 2025 / Accepted: 26 November 2025 / Published: 27 November 2025
(This article belongs to the Special Issue Evaluation, Decision-Making and Market Simulation of a New Type of Power System)
Versions Notes

Abstract

Large-scale renewable energy bases in desert regions face challenges of unstable output and inefficient utilization due to the fluctuating nature of wind and solar power. To address these issues, this study proposes an optimization model for shared hybrid electricity–hydrogen energy storage across multiple micro-energy systems. The model minimizes the total investment and operation cost under electricity–hydrogen coupling and system balance constraints, and an improved Shapley value method is introduced to ensure fair cost allocation among participants. A case study based on a desert renewable base shows that the proposed shared configuration reduces the total annualized cost by 10.36% and increases renewable energy utilization by 12.19% compared with independent electrical storage systems. These results demonstrate that shared hybrid storage can effectively enhance energy utilization and cost efficiency in large-scale renewable energy bases, providing a feasible approach for integrated power–hydrogen energy management.
Keywords: multi-microgrid; shared energy storage; hybrid hydrogen–electric storage; wind–solar integration; Shapley value method multi-microgrid; shared energy storage; hybrid hydrogen–electric storage; wind–solar integration; Shapley value method

Share and Cite

MDPI and ACS Style

Han, P.; Zhu, Y.; Ma, L.; Ru, S.; Peng, Y.; Li, W.; Shi, W.; Zhang, M. Shared Power–Hydrogen Energy Storage Capacity Planning and Economic Assessment for Renewable Energy Bases. Processes 2025, 13, 3838. https://doi.org/10.3390/pr13123838

AMA Style

Han P, Zhu Y, Ma L, Ru S, Peng Y, Li W, Shi W, Zhang M. Shared Power–Hydrogen Energy Storage Capacity Planning and Economic Assessment for Renewable Energy Bases. Processes. 2025; 13(12):3838. https://doi.org/10.3390/pr13123838

Chicago/Turabian Style

Han, Peidong, Yankai Zhu, Lifei Ma, Shilin Ru, Yinzhang Peng, Wenxin Li, Wenhui Shi, and Meimei Zhang. 2025. "Shared Power–Hydrogen Energy Storage Capacity Planning and Economic Assessment for Renewable Energy Bases" Processes 13, no. 12: 3838. https://doi.org/10.3390/pr13123838

APA Style

Han, P., Zhu, Y., Ma, L., Ru, S., Peng, Y., Li, W., Shi, W., & Zhang, M. (2025). Shared Power–Hydrogen Energy Storage Capacity Planning and Economic Assessment for Renewable Energy Bases. Processes, 13(12), 3838. https://doi.org/10.3390/pr13123838

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop