基于粒子滤波算法的电网运行异常值快速检测算法  

Fast detection algorithm of power grid outlier based on particle filter algorithm

作　　者：李国兵[1] LI Guobing(State Grid Taixing County Electric Power Supply Company,Taixing 225400,China)

机构地区：[1]国网泰兴市供电公司,江苏泰兴225400

出　　处：《电子设计工程》2021年第1期138-142,共5页Electronic Design Engineering

基　　金：江苏省自然科学基金项目(BK20180104)。

摘　　要：由于传统电网运行异常值快速检测算法检测步骤单一,检测准确率低,因此无法实现快速检测,基于子滤波算法研究了一种新的电网运行异常值快速检测算法。挖掘电网运行的异常数据信息,了解数据所处的具体情况作出数据处理判断。按照异常位置划分处理区域,检测处理好的数据信息,同时结合粒子滤波算法加强数据检测力度,获取所需的检测信息。实验结果表明,基于粒子滤波算法的电网运行异常值快速检测算法能够实现深度检测,提高检测准确率,确保检测速度。Because the traditional power grid outlier rapid detection algorithm has a single detection step and low detection accuracy,fast detection cannot be achieved.Based on the sub⁃filter algorithm,a new fast detection algorithm for grid outlier operation is studied.Excavate the abnormal data information of power grid operation,understand the specific situation of the data and make data processing judgment.The processing area is divided according to the abnormal position,and the processed data information is detected.At the same time,the particle filtering algorithm is combined to strengthen the data detection strength and obtain the required detection information.Experimental results show that the fast detection algorithm of grid operation outliers based on particle filtering algorithm can achieve deep detection,improve detection accuracy and ensure detection speed.

关 键 词：粒子滤波算法 电网运行 异常值检测 快速检测 

分 类 号：TN919[电子电信—通信与信息系统]