The operational reliability of the distribution system was predicted based on big data technology.A four-dimensional index system for the operational reliability of the distribution system was established,the principal component analysis was used to extract the main evaluation indicators from a large amount of data,and the influencing factor of the indicator was analyzed.A relevant model based on parallel association rule was built,the operational reliability main indicators and strong association rule between various influencing factors were extracted from the model,and then the main influencing factors were obtained.By means of artificial neural network method for prediction,based on historical and real-time data,the main influencing factors are used as input variables for prediction,while the output variables are main evaluation indicators.By predicting,the operational reliability for the next period of time was determined.Through calculation example,the operational reliability of the distribution system can be quickly and effectively predicted by this proposed method.
Big DataDistribution SystemOperationReliabilityPrediction
NETL
NSTL
万方数据
