多模型融合保障与改善电力变压器数据质量

Guarantee and improvement of power transformer data quality with multi-model fusion

电力变压器是电网中非常重要的设备,直接关系到电网的安全稳定运行,也直接关系到电能的品质,影响各行各业和千家万户,因此,如何确保电力变压器安全稳定运行至关重要。变压器在长期运行过程中受热、电及其他因素影响,出现缺陷的风险逐渐增大,缺陷点会快速发展为故障,造成变压器停运,影响电网的稳定运行,甚至造成大面积停电。通过对变压器一系列状态数据的监测分析发现变压器的异常情况,并融合多模型进行健康指数的计算、分析和处理,保障与改善电力变压器的数据质量,从而优化变压器的健康状态,保障变压器安全、稳定、持续以及高效运行。

Power transformer is a very important equipment in the power grid,which is directly related to the safe and stable operation of the power grid,and also directly related to the quality of electric energy,affecting various industries and households;Therefore,how to ensure the safe and stable operation of power transformers is crucial.However,in the long-term operation of the transformer,affected by heat,electricity and other factors,the risk of defects gradually increases,and the defect point will quickly develop into a fault,resulting in the transformer outage,affecting the stable operation of the power grid,and even causing a large-scale power outage.Through the detection and analysis of a series of transformer status data,we find the abnormal situation of the transformer,and integrate multiple models to calculate,analyze and process the health index to ensure and improve the data quality of the power transformer,so as to ensure and optimize the healthy,stable,continuous and efficient operation of the transformer.