基于脱网负荷容量的电网薄弱环节识别方法
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TM712

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国家电网有限公司科技项目(5200-201924064A-0-0-00)


Method for identifying weak links of power grid based on off-grid load capacity
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    摘要:

    针对现有的配电网中薄弱环节识别方法的不足,考虑电压暂降幅值和持续时间对敏感设备的影响,提出了一种基于脱网负荷容量的电网薄弱环节识别方法。首先,将幅值和持续时间划分为多个区间;然后,使用解析式法,计算线路故障时节点电压幅值在各区间的概率,拟合持续时间分布的概率密度函数,计算电压暂降持续时间在各区间的概率,由此得到线路故障时节点电压暂降的幅值和持续时间位于各区间的概率,即电压暂降发生概率;最后,通过各区间内的电压暂降发生概率和敏感设备故障概率,计算线路故障导致敏感设备故障的概率以及电网的总脱网负荷容量,并将脱网负荷容量作为电网薄弱环节的识别指标。以IEEE-39节点系统为例做了验证分析,并与其它方法进行对比,结果表明了此方法的有效性。

    Abstract:

    Aiming at the shortcomings of the existing weak link identification methods in the distribution network, a method for identifying weak links of the power grid based on off-grid load capacity was proposed, which considered the effect of the magnitude and duration of voltage sag on sensitive equipment. First, the magnitude and duration were divided into multiple intervals. Then, the analytical method was used to calculate the probability of the node voltage magnitude in each interval when the line failed; the probability density function of the duration distribution was fitted to calculate the probability of the voltage sag duration in each interval. From this, the probability of the magnitude and duration of node voltage sag in each interval was obtained when the line failed; that was the occurrence probability of voltage sag. Finally, based on the occurrence probability of voltage sag and the failure probability of sensitive equipment in each interval, the failure probability of sensitive equipment caused by line failure and the total off-grid load capacity of the power grid were calculated, and the off-grid load capacity was used as an indicator for identifying weak links of the power grid. Taking the IEEE-39 node system as an example for verification analysis and comparing it with other methods, the results showed the effectiveness of the proposed method.

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引用本文

王雪,刘长荣,刘兴杰,等.基于脱网负荷容量的电网薄弱环节识别方法[J].电力科学与技术学报,2022,37(3):85-93.
WANG Xue, LIU Changrong, LIU Xingjie, et al. Method for identifying weak links of power grid based on off-grid load capacity[J]. Journal of Electric Power Science and Technology,2022,37(3):85-93.

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  • 在线发布日期: 2022-07-24
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