Currently,most enterprises only focus on the design life of power equipment.In the later stage of power equipment use,the operation and maintenance costs may be higher than the benefits of power equipment,resulting in a waste of funds.In response to this issue,this article conducts an in-depth analysis of the environmental status of power equipment based on the life cycle cost(LCC)and evaluates its comprehensive performance.Firstly,data from a 35 kV voltage transformer of a large enterprise was selected and principal component analysis(PCA)was used to reduce the dimensionality of the data.Then,use the K-Means method to screen for outliers in the data and perform data clustering.Subsequently,an LCC-PCA KMeans DQN model was proposed,and the DQN algorithm was used to simulate and analyze the voltage transformer.The results show that the LCC-PCA KMeans DQN model based on the entire life cycle established in this article can scientifically calculate the service life range of voltage transformers,and through the analysis of the equipment's usage environment and comprehensive performance evaluation,it can make up for the shortcomings of traditional methods and effectively reduce the operation and maintenance costs of enterprises.
full lifecyclePCA dimensionality reductionK-Means clusteringdeep reinforcement learningenvironmental analysis of power equipmentcomprehensive performance evaluation
维普
万方数据
