基于信息还原与膜计算的配电网故障定位  

Fault section location for distribution networks based on information restoration and membrane computing

作　　者：苏译[1] 彭敏放[1] 朱亮[2] 车红卫[2] 刘正谊[2] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]湖南省电力公司,长沙410007

出　　处：《仪器仪表学报》2014年第12期2700-2708,共9页Chinese Journal of Scientific Instrument

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

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。In order to deal with the possible loss and distortion of the information from feeder terminal units （FTU） causing the incorrect fault location in distribution networks, a new method based on information restoration preprocessing with information replenishment and correction as well as membrane computing is presented. The incomplete information from FTU is replenished and the distortional information is detected and corrected by using an information restoration preprocessing model so that the real information describing the over current can be obtained. Furthermore, by employing the completed and corrected information, a new membrane computing with high precision by using fishermen optimization algorithm （FSOA） in the local optimization and rapid convergence by using ABC in global optimization is introduced to fault section location to improve the diagnosis accuracy. Compared with genetic algorithm （GA） and Electromagnetism-like mechanism （ELM）, the proposed method shows distinct advantages in accuracy, speed and tolerance.

关 键 词：故障定位 配电网 容错 信息预处理 膜计算 

分 类 号：TH701[机械工程—仪器科学与技术] TM727[机械工程—精密仪器及机械]