洪烽, 贾欣怡, 梁璐, 郝俊红, 房方, 刘吉臻. 面向风电场频率支撑的混合储能层次化容量优化配置[J]. 中国电机工程学报, 2024, 44(14): 5596-5606. DOI: 10.13334/j.0258-8013.pcsee.231003
引用本文: 洪烽, 贾欣怡, 梁璐, 郝俊红, 房方, 刘吉臻. 面向风电场频率支撑的混合储能层次化容量优化配置[J]. 中国电机工程学报, 2024, 44(14): 5596-5606. DOI: 10.13334/j.0258-8013.pcsee.231003
HONG Feng, JIA Xinyi, LIANG Lu, HAO Junhong, FANG Fang, LIU Jizhen. Hierarchical Capacity Optimization Configuration of Hybrid Energy Storage for Wind Farm Frequency Support[J]. Proceedings of the CSEE, 2024, 44(14): 5596-5606. DOI: 10.13334/j.0258-8013.pcsee.231003
Citation: HONG Feng, JIA Xinyi, LIANG Lu, HAO Junhong, FANG Fang, LIU Jizhen. Hierarchical Capacity Optimization Configuration of Hybrid Energy Storage for Wind Farm Frequency Support[J]. Proceedings of the CSEE, 2024, 44(14): 5596-5606. DOI: 10.13334/j.0258-8013.pcsee.231003

面向风电场频率支撑的混合储能层次化容量优化配置

Hierarchical Capacity Optimization Configuration of Hybrid Energy Storage for Wind Farm Frequency Support

  • 摘要: 为应对风电大规模并网给新型电力系统运行的安全稳定带来新的重大挑战,通过混合储能技术参与风电场并网平滑输出功率和辅助一次调频可以有效减缓风电场输出功率波动,主动支撑电网频率安全。兼顾不同储能系统的优势,该文提出一种基于飞轮和锂电池的混合储能平抑-调频方案,并考虑混合储能系统的全生命周期成本,结合多时间尺度的需求,构建容量优化配置的层次化模型。平抑层计及售电收益和碳交易收益,调频层考虑一次调频收益。充分考虑层次化模型间的耦合特性,以年化收益最大为目标,并通过实际数据进行计算分析。结果表明,相比混合储能仅参与平抑波动,计及风电消纳和一次调频需求的层次化容量配置模型可以有效发挥各自在功率平抑和调频支撑上的优势,整体经济性更好,可有效提升风-储联合系统的全生命周期净收益。

     

    Abstract: In response to the substantial challenges introduced by the large-scale integration of wind power into new power system, hybrid energy storage technology is involved in wind farm grid-connected smooth output power and auxiliary primary frequency regulation to effectively slow down the output power fluctuation of wind farm and actively support grid frequency security. Taking into account the advantages of different energy storage systems, this paper proposes a hybrid energy storage stabilization-frequency modulation scheme based on flywheel and lithium battery. Considering the full life cycle cost of the hybrid energy storage system, combined with the needs of multiple time scales, a hierarchical model of capacity optimization configuration is constructed. The smoothing layer considers electricity sales revenue and carbon trading revenue, the frequency modulation layer considers primary frequency modulation revenue, and fully considers the coupling characteristics between the hierarchical models, as well as takes the maximum annualized revenue as the goal. The calculation and analysis are carried out through actual data. The results show that compared with hybrid energy storage, which only participates in smoothing fluctuations, the hierarchical capacity allocation model considering wind power consumption and primary frequency modulation demand can effectively give full play to their respective advantages in power smoothing and frequency modulation support. The overall economy is better, and the net income of the whole life cycle of the wind-storage combined system is effectively improved.

     

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