基于信息还原与膜计算的配电网故障定位

发布时间：2018-10-11 08:50

【摘要】：针对配电网馈线终端设备(FTU)上传信息易丢失、畸变,导致故障定位准确率不高的缺陷,提出结合FTU上传信息还原预处理与膜计算优化的配电网故障定位方法。该法依据所构建的信息还原预处理模型,将FTU上传信息先进行丢失信息的补全,再进行信息畸变的判断与校正,从而为故障定位提供较为真实的过电流信息;构建了一种新的膜计算方式,在局部寻优中采用高精度捕鱼算子,全局寻优中采用快速收敛的蜂群算子,并动态调整控制参数limit,采用预处理后的信息以及所提出的基于膜计算的配网故障搜索方法,进行配电网故障区段定位,进一步提高了故障定位算法的容错性。仿真结果表明,对大规模配电网应用所提方法进行配电网故障定位,较之遗传算法、仿电磁学算法等在准确性、快速性、容错性等方面有较明显的优势。
[Abstract]:In view of the defect that the (FTU) upload information of feeder terminal equipment of distribution network is easy to lose and distortion, which leads to the low accuracy of fault location, a fault location method based on the preprocessing of FTU upload information reduction and the optimization of membrane calculation is proposed. According to the preprocessing model of information reduction, the FTU uploads the information to make up the lost information first, then to judge and correct the information distortion, so as to provide more real information of overcurrent for fault location. In this paper, a new method of membrane calculation is constructed, in which the high precision fishing operator is used in local optimization, and the rapidly convergent bee colony operator is used in global optimization. The dynamic adjustment of control parameters limit, adopts the preprocessed information and the proposed fault search method based on membrane calculation to locate the fault section of distribution network, which further improves the fault tolerance of fault location algorithm. The simulation results show that the proposed method has obvious advantages in accuracy, rapidity and fault tolerance compared with genetic algorithm (GA) and imitative electromagnetics algorithm (EME).
【作者单位】：湖南大学电气与信息工程学院;湖南省电力公司;
【基金】：国家自然科学基金项目(61173108,60973032,61472128) 湖南省自然科学基金重点项目(10JJ2045,14JJ2150)资助
【分类号】：TM76

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