广东工业大学自动化学院,广州 510006
[ "孙烨桦1998-,男,硕士研究生 1998-,男,硕士研究生研究方向为电力系统规划与运行" ]
[ "吴杰康 1965-,男,教授,工学博士,博士生导师 研究方向为电力系统规划、运行与控制等 E-mail:wujiekang@163.com" ]
[ "詹耀国 1998-,男,硕士研究生 研究方向为电力系统规划与运行" ]
[ "罗伟明1994—,男,博士研究生 主要研究方向为电力系统运行与控制" ]
[ "洪明志1998-,男,硕士研究生 研究方向为电力系统规划与运行" ]
[ "彭其坚1996-,男,硕士研究生 研究方向为电力系统规划与运行" ]
[ "张勋祥1996-,男,硕士研究生 研究方向为电力系统规划与运行" ]
[ "方梓康1997-,男,硕士研究生 研究方向为电力系统规划与运行" ]
[ "谢明钊1997-,男,硕士研究生 研究方向为电力系统规划与运行" ]
收稿:2023-11-22,
修回:2024-04-08,
纸质出版:2024-08-30
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孙烨桦,吴杰康,詹耀国,等.海上风电与电氢混合储能协同运行优化[J].新型电力系统,2024,02(3):346-356.
SUN Yehua,WU Jiekang,ZHAN Yaoguo,et al.Cooperative Operation Optimization of Offshore Wind Power and Hybrid Electric-hydrogen Energy Storage[J].New Type Power Systems,2024,02(03):346-356.
孙烨桦,吴杰康,詹耀国,等.海上风电与电氢混合储能协同运行优化[J].新型电力系统,2024,02(3):346-356. DOI: 10.20121/j.2097-2784.ntps.230038.
SUN Yehua,WU Jiekang,ZHAN Yaoguo,et al.Cooperative Operation Optimization of Offshore Wind Power and Hybrid Electric-hydrogen Energy Storage[J].New Type Power Systems,2024,02(03):346-356. DOI: 10.20121/j.2097-2784.ntps.230038.
在“双碳”目标下,海上风电不断发展,随之带来了风电消纳与应对出力不确定性的难题。针对该问题构建含储氢盐穴的氢储能系统与退役动力电池的电氢混合储能系统。通过基于数据驱动的Wasserstein距离构建风电出力模糊集的分布鲁棒优化模型研究海上风电与电氢混合储能的协同优化运行。模型在第1阶段制定日前运行计划,在第2阶段通过仿射策略分配功率调整任务。最后通过算例研究不同预测误差对系统运行情况、运行成本的影响,验证了电氢混合储能在消纳风电与减少实时功率偏差的有效性。
2
Under the carbon peaking and carbon neutrality goals
offshore wind power has been developing continuously
which brings the problem of wind power consumption and the uncertainty of power output. In this paper
a hybrid electric-hydrogen energy storage system containing a hydrogen energy storage system with salt caverns and retired power batteries is constructed to address this problem. A data-driven Wasserstein distance-based distributional robust optimization model with fuzzy sets of wind power output is constructed to study the synergistic optimization of offshore wind power and electric-hydrogen hybrid energy storage. The model develops a day-ahead operation plan in the first stage
and assigns power adjustment tasks through an affine strategy in the second stage. Finally
the effects of different prediction errors on system operation and operation cost are investigated through examples
and the effectiveness of electric-hydrogen hybrid storage in consuming wind power and reducing real-time power deviation is verified.
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