Power Grid Decision Information Generation Model Based on Knowledge Clustering-Ensemble

Abstract

For there is a lower level of fusion grid decision-making process and decision-making are not smart enough ,this paper presents a power grid's management and control task demand – knowledge matching model, to help staff accurately and rapidly access to the necessary knowledge, before making a decision.At the same time,in order to solve the problem ,this paper, in the TBM framework ,presents a grid knowledge clustering-ensemble method. Then, knowledge clustering-ensemble model is applied to the electrical network management control decision-making process. Test of the fault diagnosis has proved that ,the model is able to maintain the original good performance of the evidence theory and TBM framework, also can get more useful information for decision-making.