基于K⁃means算法的10 kV变压器负载状态检测方法

Load State Detection Method of 10 kV Transformer Based on K-means Algorithm

针对平均状态下的热点温度单一、不同负载状态检测响应时间较长的问题,为提高响应速度,基于K-means算法,设计了一种10 kV变压器负载状态检测方法。建立10 kV变压器负载模型,压缩重叠向量矩阵,综合计量变压器负载状态参数指标;计算不同负载状态热点温度,分别讨论正常周期性负载、长期急救负载、短期急救负载等不同负载状态热点温度;基于K-means算法评估变压器负载状态,计算欧式距离与平均距离,求解负载状态指标,完成10 kV变压器负载状态检测。实例测试结果表明,该算法应用后的正常周期性负载、长期急救负载、短期急救负载条件下最大响应时间为0.36 s,0.6 s,0.2 s,对变压器负载状态的检测能力更强。

Aiming at the problem of single hot spot temperature under average state and long response time under different load states,in order to improve the response speed,a 10 kV transformer load state detection method based on K-means algorithm was designed.The 10 kV transformer load model was established,the overlapping vector matrix was compressed,and the transformer load state parameter indexes were comprehensively measured.The hot spot temperatures under different load states were calculated,and the hot spot temperatures under different load states such as normal periodic load,long-term emergency load and short-term emergency load were discussed respectively.The load state of transformer was evaluated based on K-means algorithm,the Euclidean distance and average distance were calculated,the load state index was solved,and the load state detection of 10 kV transformer was completed.The example test results show that the maximum response time under the conditions of normal periodic load,long-term emergency load and short-term emergency load are 0.36 s,0.6 s and 0.2 s,and the detection ability for transformer load state is more stronger.