A Power Grid Comprehebsive Evaluation Based On BP Neural Network

Along with the development of the electricity market reformation,The environment and the status of the power supply enterprises have changed a lot.The power supply enterprises are facing a situation of an environmental changing from monopoly to competition.The main business of a power supply enterprise is switch from the power distribution and the load-shedding to customer guidance.In 2007,"Electricity service quality evaluation administration by SGCC(test)" was published by the State Grid,which emphasizes the importance of the supply quality in the management of a power supply enterprise.By building the index system for the evaluation target,the Power Grid comprehensive evaluation(CE)is to use corresponding evaluation model to get the evaluation results.Firstly,this paper introduces multiple kinds of CE methods,and analyzes the current research.Briefly explains the significance of Power Grid comprehensive evaluation.And then by analysis the methods of the comprehensive evaluation index building,a multi-level power grid comprehensive evaluation index system including 7 first level indicators?14 second level indicators and 28 third level indicators was built.Meanwhile,the AHP method was adopted to introduce game theory integration method,combined with fuzzy comprehensive evaluation method and entropy weight method,accordingly,the subjective and objective weight were determined and,the final weight was obtained.A BP-NN model which is adapts to the certain research,and put the final weight into the neural network for training.Through the evaluations results for power grid satisfaction of 10 cities in a certain province,it can verify that this method will realize rapid,unanimous and accurate power grid evaluation.