李进, 蔡泽祥, 岑伯维, 黄潇扬. 基于功率能量特性的含小水电微电网储能容量配置方法[J]. 电力建设, 2024, 45(4): 123-133.
引用本文: 李进, 蔡泽祥, 岑伯维, 黄潇扬. 基于功率能量特性的含小水电微电网储能容量配置方法[J]. 电力建设, 2024, 45(4): 123-133.
LI Jin, CAI Ze-xiang, CEN Bo-wei, HUANG Xiao-yang. Energy Storage Capacity Configuration Method for Microgrids Containing Small Hydropower Based on Power-Energy Characteristics[J]. Electric Power Construction, 2024, 45(4): 123-133.
Citation: LI Jin, CAI Ze-xiang, CEN Bo-wei, HUANG Xiao-yang. Energy Storage Capacity Configuration Method for Microgrids Containing Small Hydropower Based on Power-Energy Characteristics[J]. Electric Power Construction, 2024, 45(4): 123-133.

基于功率能量特性的含小水电微电网储能容量配置方法

Energy Storage Capacity Configuration Method for Microgrids Containing Small Hydropower Based on Power-Energy Characteristics

  • 摘要: 含小水电微电网受源荷不确定性影响易产生较大的功率波动,离网状态下易导致微电网系统停电、弃电的发生。为了充分考虑含小水电微电网功率、能量的平衡特性,提高含小水电微电网运行的经济性和鲁棒性,提出一种基于功率能量特性的含小水电微电网储能优化配置方法。首先,分析了含小水电微电网的功率能量平衡机理,提出了该微电网的功率能量特性模型;然后,在含小水电微电网功率能量特性模型和源荷不确定性模型的基础上,提出了基于功率能量特性的随机场景分解聚类方法和储能容量配置方法。最后,以某地区离网型含小水电微电网为仿真算例,通过与现有方法进行结果对比和影响因素分析,验证了所提方法的有效性。

     

    Abstract: Small hydropower-containing microgrids are susceptible to large power fluctuations caused by source-load uncertainty, and off-grid conditions can easily lead to power outages and power abandonment of the microgrid system. To fully consider the power and energy balance characteristics of microgrids containing small hydropower sources and improve their economy and robustness, this study proposes a method for optimizing the configuration of energy storage in microgrids containing small hydropower using the power and energy characteristics. First, the power-energy balance mechanism of a microgrid containing small hydropower is analyzed, and a power-energy characteristic model of the microgrid is proposed based on the power-energy characteristic model of the microgrid containing small hydropower and the source-load uncertainty model. A stochastic scenario decomposition clustering method based on the power-energy characteristic and the energy storage capacity configuration method is also proposed. Finally, the effectiveness of the proposed method is verified by comparing the results with those of existing methods and analyzing the influencing factors using an off-grid microgrid containing small hydropower in a region as a simulation example.

     

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