含海上风电制氢和多重响应的综合能源系统源-荷多时间尺度优化调度
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燕兵
1
,
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杨志林
1
,
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张岩
1
,
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杨晓辉
2
,
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李庆熙
3
作者信息
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1.郑州工业应用技术学院机电工程学院,郑州 451100
2.南昌大学信息工程学院,南昌 330031
3.国网经济技术研究院有限公司,北京 102209
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燕兵(1989),女,讲师,硕士,研究方向为综合能源系统;
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杨志林(1984),女,讲师,硕士,研究方向为综合能源系统;
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张岩(1989),男,通信作者,副教授,硕士,研究方向为综合能源系统、微网能量管理,zhangyanep@163.com。
|
收起
Optimization of Source-Load Multi-Time Scale for Hydrogen Integrated Energy System Including Hydrogen Production from Offshore Wind Power and Multiple Responses
Author information
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1.School of Mechanical and Electrical Engineering, Zhengzhou University of Industrial Technology, Zhengzhou 451100, China
2.School of Information Engineering, Nanchang University, Nanchang 330031, China
3.State Grid Economic and Technological Research Institute Co. , Ltd. , Beijing 102209, China
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文章历史
+
| 收稿日期 |
出版日期 |
| 2025-02-18 |
2025-06-20 |
PDF (3169K)
摘要
海上具有极为丰富的风资源,研究海上风电制氢技术和荷侧需求响应对风电消纳及平抑海上风电波动性具有重要意义。为此,提出了一种含海上风电制氢(offshore wind power hydrogen production,OWHP)和多重需求响应的含氢综合能源系统(integrated energy system,IES)源-荷多时间尺度优化调度策略。首先,探究了海上风电制氢系统运行机理,构建了含风电制氢、氢气压缩、海水淡化、输氢管道以及气体储氢的海上风电制氢模型,并构建了含燃气掺氢、氢气甲烷化和氢燃料电池的氢能多重利用模型。其次,分析了荷侧资源在各时间尺度的调节特性,提出了多重需求响应模型。最后,为降低海上风电的预测误差对IES运行影响,提出了日前-日内-实时三阶段的多时间尺度优化模型,平抑系统功率波动。算例仿真结果表明所提模型可有效消纳海上风电资源,提升IES经济、低碳性,并缓解源、荷不确定性对系统运行的影响。
Abstract
The sea has extremely abundant wind resources, and studying offshore wind power hydrogen production technology and load side demand response is of great significance for wind power consumption and smoothing the volatility of offshore wind power. Therefore, a source-load multi-time scale optimization scheduling strategy for a hydrogen containing integrated energy system (IES) including hydrogen production from multiple demand responses and offshore wind power is proposed. Firstly, the operating mechanism of the offshore wind power hydrogen production (OWHP) system is explored, and an OWHP model is constructed, which includes wind power hydrogen production, seawater desalination, hydrogen compression, hydrogen transmission pipelines and gas hydrogen storage. A hydrogen energy multi energy utilization model is also constructed, which includes gas hydrogen blending, hydrogen methanation and hydrogen fuel cells. Secondly, the regulation characteristics of load side response resources at different time scales are analyzed, and a multi demand response model is proposed. Finally, in order to reduce the impact of prediction errors in offshore wind power on IES operation, a multi-time scale of three stages optimization model consisting of day ahead, day ahead, and real-time is proposed to smooth out system power fluctuations. The simulation results of the case study show that the proposed model can effectively absorb offshore wind power resources, improve IES economy and low-carbon performance, and alleviate the impact of source and load uncertainties on system operation.
Graphical abstract
关键词
多时间尺度
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海上风电制氢
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综合能源系统
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氢能多能利用
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多重需求响应
Key words
multi-time scales
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hydrogen production from offshore wind power
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integrated energy system
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multi energy utilization of hydrogen energy
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multiple demand response
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燕兵,杨志林,张岩,杨晓辉,李庆熙.
含海上风电制氢和多重响应的综合能源系统源-荷多时间尺度优化调度[J].
南方电网技术, 2025, 19(6): 105-118 DOI:10.13648/j.cnki.issn1674-0629.2025.06.010
基金资助
国家自然科学基金资助项目(61963026)