| 引用本文: | 刘沛津,冯涵蕴,魏平,焦玉婵,党佳露,孙艺阁.面向氢储双向运行机制的海上风光氢储一体化发电系统容量协同优化方法[J].电力自动化设备,2025,45(12):49-57. |
| LIU Peijin,FENG Hanyun,WEI Ping,JIAO Yuchan,DANG Jialu,SUN Yige.Capacity collaborative optimization method of offshore wind-solar-hydrogen energy storage integrated generation system for bidirectional operation mechanism of hydrogen storage[J].Electric Power Automation Equipment,2025,45(12):49-57. |
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| 摘要: |
| 针对海上风光发电波动消纳及氢储系统运行灵活性不足问题，提出一种面向氢储双向运行机制的海上风光氢储一体化发电系统的容量协同优化方法。基于系统拓扑结构构建氢储双向运行框架，考虑海上运行环境及氢储容量状态，建立各子系统数学模型；构建系统容量-运行协同双层优化模型，上层以最小化年均规划成本为目标，涵盖基础建设、设备投资、置换、运维以及输电系统建设成本，下层以最大化典型日运行净收益为目标，统筹售电、碳减排、售氢、购电、弃电、运维等经济指标；为求解该复杂非线性模型，提出结合改进蜣螂优化算法与CPLEX求解器的混合求解策略，实现容量配置与运行调度的联合优化。通过华东海域进行算例分析，验证所提方法在提升系统经济性、低碳性及运行灵活性方面的协同效应。 |
| 关键词: 海上风光氢储一体化系统 容量优化配置 氢储双向运行 双层优化模型 混合求解策略 |
| DOI：10.16081/j.epae.202510020 |
| 分类号:TM614 |
| 基金项目:国家自然科学基金资助项目(62473301) |
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| Capacity collaborative optimization method of offshore wind-solar-hydrogen energy storage integrated generation system for bidirectional operation mechanism of hydrogen storage |
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LIU Peijin1, FENG Hanyun1, WEI Ping2, JIAO Yuchan1, DANG Jialu1, SUN Yige1
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1.School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China;2.Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
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| Abstract: |
| Aiming at the problems that the fluctuating consumption of offshore wind power generation and the lack of flexibility in the operation of hydrogen storage system, a capacity collaborative optimization method of offshore wind-solar-hydrogen energy storage integrated generation system for bidirectional operation mechanism of hydrogen storage is proposed. The framework of hydrogen storage bidirectional operation is constructed based on the system topology, the offshore operating environment and the capacity state of the hydrogen storage unit is considered, and the mathematical models for each subsystem is established. The system capacity-operation synergistic dual-layer optimization model is constructed, in which the upper layer aims to minimize the average annual planning costs, covering infrastructure, equipment investment, replacement, operation and maintenance, and transmission system construction costs, the lower layer aims to maximize typical daily net operating revenue by coordinating economic indicators including electricity sales, carbon emission reduction, hydrogen sales, power purchase, power abandonment, operation, maintenance and other economic indicators. In order to solve this complex nonlinear model, a hybrid solving strategy combining an improved dung beetle optimizer algorithm and CPLEX solver is proposed to realize the joint optimization of system capacity allocation and operation scheduling. The synergistic effect of this method in enhancing the economy, low carbon and operational flexibility of the system is verified by analyzing the case study of the East China Sea area. |
| Key words: offshore wind-solar-hydrogen energy storage integrated energy system optimal capacity configuration bidirectional operation of hydrogen energy storage double-layer optimization hybrid solving strategy |
