基于MMC的柔性直流系统线路故障定位研究

Research on Fault Location of Flexible DC System Line Based on MMC

  • 摘要: 柔性直流输电系统的线路结构和故障特性对线路故障定位和测距方案准确度提出了更高的要求,根据双极短路故障的特性,以BP神经网络理论为基础提出一种故障区域定位。利用线路参数实现两端录波数据同步的方法,基于最小二乘法对直流输电线路进行故障距离测定。该方案采用最小二乘法对故障录波数据进行时间同步,降低故障测距结果误差,可将同步后的数据应用于输电系统分析和故障测距中,为系统线路发生故障后迅速定位故障及后续恢复供电提供参考。最后,通过在PSCAD平台搭建系统和大量仿真及计算,验证了所提故障定位和测距方案的可靠性和可行性。

     

    Abstract: The line structure and fault characteristics of flexible DC transmission system put forward higher requirements for the accuracy of line fault location and location scheme. According to the characteristics of bipolar short circuit fault, a fault area location based on BP neural network theory is proposed. The fault distance measurement of DC transmission line based on the least square method is realized by using the method of line parameters to realize the synchronization of recording data at both ends. The scheme uses the least square method to synchronize the fault recording data in time to reduce the error of fault location results. After synchronization, the data is applied to the transmission system analysis and fault location, providing reference for rapid fault location and subsequent power supply restoration after the system line fault occurs. Finally, the reliability and credibility of the proposed fault location process and the fault location scheme are verified through building the system on the PSCAD platform and a large number of simulations.

     

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