| 引用本文: | 陈磊磊,年珩,赵建勇,肖宏飞,林艳艳.计及电解槽功率波动的风光制氢系统能量管理优化[J].电力自动化设备,2025,45(9):20-27 |
| CHEN Leilei,NIAN Heng,ZHAO Jianyong,XIAO Hongfei,LIN Yanyan.Energy management optimization of wind-solar hydrogen production system considering power fluctuation of electrolyzers[J].Electric Power Automation Equipment,2025,45(9):20-27 |
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| 摘要: |
| 针对电解槽输入功率波动的问题，结合能量管理策略的研究成果，提出计及电解槽功率波动的风光制氢系统能量管理优化方法。制定计及发电消纳率、经济效益、储能电池启停次数、储能电池经济运行、电解槽启停次数、电解槽功率波动的多目标函数及功率约束条件。采用基础优化、功率波动优化双层结构进行求解。基于实际案例验证所提方法的可行性。案例结果表明：所提能量管理优化方法可以实现电解槽功率小波动分配，在保证100% 发电消纳率的前提下，使系统经济效益提升3.12%，储能启停次数减少6次，电解槽启停次数减少22次，维持储能电池经济运行；所提能量管理优化方法能够实现多目标优化，提升电解槽的制氢效率以及系统的经济效益。 |
| 关键词: 功率波动 能量管理 多目标优化 双层功率优化 风光制氢系统 电解槽 储能 |
| DOI：10.16081/j.epae.202503028 |
| 分类号: |
| 基金项目:国家杰出青年科学基金资助项目(52325702)；浙江省教育厅一般科研项目(Y202044527, Y202353791)；杭州电子科技大学信息工程学院科研培育基金资助项目(KYP0122002, KYP02220012) |
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| Energy management optimization of wind-solar hydrogen production system considering power fluctuation of electrolyzers |
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CHEN Leilei1, NIAN Heng2, ZHAO Jianyong2, XIAO Hongfei1, LIN Yanyan1
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1.College of Information Engineering, Hangzhou Dianzi University, Hangzhou 311305, China;2.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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| Abstract: |
| Aiming at the input power fluctuation problem of electrolyzers, combined with the research results of energy management strategies, an energy management optimization method of wind-solar hydrogen production system considering the power fluctuation of electrolyzers is proposed. The multi-objective function and power constraint conditions are formulated considering the consumption rate of power generation, the economic benefit, the start-stop times of energy storage battery, the economic operation of energy storage battery, the start-stop times of electrolyzer and the power fluctuation of electrolyzer. The solution is carried out by adopting a double-layer structure of basic optimization and power fluctuation optimization. The feasibility of the proposed method is verified based on actual cases. The case results show that the proposed energy management optimization method can achieve small fluctuation distribution of electrolyzer power. On the premise of ensuring a 100% consumption rate of power generation, the economic benefit of the system increases 3.12%,the start-stop times of energy storage reduces by 6 times, the start-stop times of electrolyzer reduces by 22 times, and the energy storage battery maintains stable operation. The proposed energy management optimization method can achieve multi-objective optimization and improve the electrolyzer’s hydrogen production efficiency and the system’s economic benefits. |
| Key words: power fluctuation energy management multi-objective optimization two-layer power optimization wind-solar hydrogen production system electrolyzer energy storage |
