王建雄, 肖麟祥, 唐海国, 刘海峰, 马瑞. 配电网故障时空特征及形成机理分析[J]. 现代电力, 2018, 35(5): 88-94.
引用本文: 王建雄, 肖麟祥, 唐海国, 刘海峰, 马瑞. 配电网故障时空特征及形成机理分析[J]. 现代电力, 2018, 35(5): 88-94.
WANG Jianxiong, XIAO Linxiang, TANG Haiguo, LIU Haifeng, MA Rui. The Feature and Formation Mechanism Analysis of the Distribution Network Fault in Time and Space[J]. Modern Electric Power, 2018, 35(5): 88-94.
Citation: WANG Jianxiong, XIAO Linxiang, TANG Haiguo, LIU Haifeng, MA Rui. The Feature and Formation Mechanism Analysis of the Distribution Network Fault in Time and Space[J]. Modern Electric Power, 2018, 35(5): 88-94.

配电网故障时空特征及形成机理分析

The Feature and Formation Mechanism Analysis of the Distribution Network Fault in Time and Space

  • 摘要: 配电网中用电信息采集系统的推广和应用为配电网故障时空特征分析提供了更准确的数据。文章选取H省各地市配电网的配变停电、线路跳闸信息为分析对象,首先在双对数坐标下对故障次数及其累积概率进行拟合,得出H省停电事件在时间和空间上均服从幂律分布,并验证了其在多时空尺度下的自相似性和标度不变性;然后从时空上对其形成机理进行了对比分析;最后将各地市故障特征在同一标度频度下对比发现,各地市的演变在时间上具有相似性,而在空间上不具有相似性。研究结果为提高配电网运行水平、供电可靠性提供了辅助决策的合理依据。

     

    Abstract: With the promotion and application of electricity consumption information acquisition system in distribution network, more accurate data is provided to analyze the spatial-temporal characteristics of the distribution network fault. This paper selects the transformer blackout and line tripping events information of the distribution network in H province as the analyzed object. Firstly, the frequency and cumulative probability of these events are counted and fitted on the double-logarithmic coordinate. It is summed that the blackout events of H province follows the power-law distribution in time and space, which verifies its spatial-temporal self-similarity and multi-scale invariance. Secondly, the fault mechanism is analyzed temporally and spatially. Finally, it is concluded that the fault evolution features in various cities are similar temporally, but different spatially. The auxiliary decision-making based on the analysis result is more reasonable to improve the distribution network operation and power supply reliability.

     

/

返回文章
返回