摘要
随着城乡电网建设的不断发展,输电线路和设备也在不断优化,线路故障隐患的排除问题显得尤为重要,因此对改进遗传算法在线路故障隐患数据预处理中的应用进行研究。其主要环节包括设计新的编码方式、改进遗传算法的适应度、对故障隐患数据进行预处理数据并行化、提升算法的预处理速度。设计故障隐患数据预处理函数,以提升数据预处理的精度。通过实验证明,将改进遗传算法融入线路故障隐患的数据预处理中,可降低数据预处理平均绝对误差和平均相对误差,增加数据处理的准确性。
With the continuous development of urban and rural power grid construction,transmission lines and equipment are also constantly optimized.The elimination of hidden dangers of line faults is particularly important.Therefore,the application of improved genetic algorithm in line fault hidden danger data preprocessing is studied.A novel coding method is designed,the adaptability of genetic algorithm is improved,the hidden trouble data are preprocessed,the data are parallelized,and the preprocessing speed of the algorithm is improved.Experiments show that the improved genetic algorithm can reduce the average absolute error and average relative error of data preprocessing and increase the accuracy of data processing.
作者
綦浩楠
巩乃奇
QI Haonan;GONG Naiqi(State Grid Shandong Maintenance Company,Jinan 250000,China)
出处
《电工技术》
2022年第11期28-31,共4页
Electric Engineering
关键词
遗传算法
线路故障
故障隐患
数据预处理
数据处理偏差
平均绝对误差
genetic algorithm
line fault
hidden trouble
data preprocessing
data processing deviation
mean absolute error
