Research On Establishment And Application Of Credit Rating Evaluation Of Power Consumer

Today,with the rapid development of economy,electric power customers present explosive growth.The sudden increase of electric power customers not only promotes the development of electric power industry,but also brings certain disadvantages,such as the problem of large number of electric power customers’ credit leads to the problem of electricity bill recovery.Electric power marketing,like other commodity sales industries,will have credit problems.The emergence of customer credit problems will directly affect the normal operation of electric power enterprises.In this context,the electric power industry needs to carry out relatively complete credit risk rating of electric power customers in a timely manner.From the perspective of power customer credit,this paper conducts systematic research and analysis on power customer credit,summarizes and analyzes the current domestic and foreign research literature on power customer credit rating,sorts out the main methods used in power customer rating evaluation through the literature,and analyzes the advantages and disadvantages of the existing methods.In this paper,the classification of electric power customer,the classification of electric power customer credit and the evaluation method of electric power customer credit are discussed in detail,and the classification of electric power customer credit is finally completed from the perspective of commercial credit,security credit,cooperative credit and legal credit.The selection of indicators in this paper adheres to the principles of scientificity,comprehensiveness,hierarchy and operability,and finally constructs an electric power customer credit score index system composed of 5 primary indicators and 9 secondary indicators.After the completion of the construction of the indicator system,the ahp-logistic mixed model is established according to the basic requirements of the electric power customer credit rating evaluation,while avoiding the related shortcomings of various commonly used models,such as subjectivity and unicity that lead to the distortion of the evaluation results.This model integrated the advantages of AHP model and Logistic regression model,greatly improved the accuracy of the model in the analysis of power customer credit rating,the effect is significant.