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After restructured the electricity industry, trading among those utilities like generation plants, grid companies, retail agents becomes more and more frequently and complicatedly, and risk existed unavoidably. Credit Evaluation on the opponent is an effective measure to decreasing the potential losses. Firstly, different transaction mode in electricity market was analyzed, with the theory of credit, the credit management indices used in long-term contract transaction was constructed, which is of simpleness and practicality and is suitable for applying it into the primary electricity market. When credit evaluation is carried out, more or less, the information is uncertain; therefore, the grey incidence approach was employed. With the sample data given, which would imply their correlatively among those indices, we could use cluster grey incidence degree to determine the weight of every index automatically, and we also could compare the grey incidence degree of unknown object to that of the typical samples, then we would realize the credit rating that those unknown objects would be attributed to in advance, finally, a case verify the validity of the approach we presented.