Research on Power Market User Credit Evaluation Based on K-Means Clustering and Contour Coefficient

Power market trading centers establish and improve the market member’s credit system can regulate the market order, reduce transaction costs and prevent economic risk. As the credit evaluation system of most of the domestic power market trading center is still being improved, the design of the evaluation system at this stage must consider the practicability. Based on the actual business data of S Province Power market trading Center, this paper designs the credit evaluation index system of power users which including 11 indexes from the aspects of basic information, market behavior, payment ability and credit record, collects the relevant index data of power users. Evaluate the credit of power users based on K-means Clustering and Silhouette Coefficient method. The credit rating of power users is divided into three grades and four types. The credit evaluation method proposed in this paper is simple and easy to use, easy to understand, and the division results are consistent with the actual situation of most users. It shows that the proposed evaluation index system, clustering algorithm and clustering effect evaluation method are practical.