Research On Correction Method For Power Supply Reliability Parameter Considering Dynamic Investment

Power supply reliability is an important indicator for evaluating distribution networks. The reliability parameter used in reliability assessment is a traditional typical parameter which produces a great error. To solve the deficiency, this paper proposes a model considering dynamic investment to correct the reliability parameter. The proposed model uses the gray prediction algorithm to predict the investment, which can overcome the problem of less historical investment data. Then the reliability parameter could be corrected by using the regression analysis and the predicted investment. A case study on reliability assessment is carried out, and the results show that dynamic investment has a great impact on reliability assessment, indicating the necessity and effectiveness of the model.