摘要
随着电网智能化的深入,配电网各线规模的扩大,线路中继电保护数据呈现指数增长,给继电保护设备调节带来困难。以往继电保护设备调整主要依赖于时间序列算法,但该方法无法满足海量数据的处理要求,降低了配电网的整体继电保护水平。对此,提出一种K-means联合时间序列算法的模型,以满足海量数据预处理的需求,提高继电保护调节的准确率。MATLAB仿真分析显示,改进时间序列算法不仅实现海量数据的简化,而且提高继电保护的调节准确度。
With the deepening of the intelligentization of the power grid and the expansion of the scale of each line of the distribution network,the data of line relay protection has increased exponentially,which brings difficulties to the adjustment of relay protection equipment.In the past,the adjustment of relay protection equipment mainly relied on time series algorithm.However,this method cannot meet the processing requirements of massive data and reduce the overall relay protection level of the distribution network.Therefore,a model of K-means joint time series algorithm is proposed to meet the needs of massive data preprocessing and improve the accuracy of relay protection regulation.MATLAB simulation analysis shows that improving the time series algorithm not only realizes the simplification of massive data,but also improves the adjustment accuracy of the relay protection.
作者
张磊
ZHANG Lei(Peak and Frequency Adjustment Maintenance Test Branch,Guangzhou 511400,China)
出处
《电工技术》
2021年第16期132-134,共3页
Electric Engineering