基于改进麻雀算法和主动限流的柔性直流配电网双极短路故障定位方法OA
A Bipolar Short-circuit Fault Localization Method for Flexible DC Distribution Networks Integrating an Enhanced Sparrow Search Algorithm With Active Current-limiting
为了提升现有的柔性直流配电网发生故障后迅速抑制故障电流的快速准确故障定位的能力,该文以双端背靠背柔性直流配电网为研究对象,提出一种基于改进麻雀算法和主动限流技术结合的柔性直流配电网双极短路故障定位法,包括预定位、主动限流、精确定位3个阶段.在精确定位阶段引入改进麻雀算法提高故障定位精度,抑制纹波的干扰.在PSCAD/EMTDC搭建双端背靠背柔性直流配电网模型,仿真实验结果表明,该故障定位方法在不同过渡电阻、噪声干扰、信号不同步情况下,故障定位的平均误差小于0.3%,最大误差小于0.5%,验证了该故障定位方法的有效性.
To enhance the rapid and accurate fault location capability for fault current suppression in existing flexible DC Grid,this paper investigates a back-to-back bipolar flexible DC distribution network.It proposes a fault location method based on an improved Sparrow Search Algorithm(SSA)combined with active current limiting technology,consisting of three stages:pre-location,active fault current limiting,and precise location.In the precise location stage,the improved SSA is introduced to enhance the fault location accuracy and suppress ripple interference.A back-to-back flexible DC distribution network model is constructed in PSCAD/EMTDC.The simulation results show that the average fault location error is less than 0.3%and the maximum error is less than 0.55%under different transition resistances,noise interferences,and signal asynchronization,verifying the effectiveness of the proposed fault location method.
焦家俊;董星星;童晓阳
西南交通大学电气工程学院,四川省成都市 611756西南交通大学电气工程学院,四川省成都市 611756西南交通大学电气工程学院,四川省成都市 611756
信息技术与安全科学
柔性直流配电网主动限流故障定位改进的麻雀算法
flexible DC gridactive current limitingfault locationimproved SSA
《电网技术》 2026 (1)
383-390,中插164-中插165,10
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