A Power Grid Comprehensive Evaluation Based on BP Neural Network

Abstract

By building the index system for the evaluation target, the Power Grid comprehensive evaluation is to use corresponding evaluation model to get the evaluation results. In this paper, 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 and put 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.