Developmental Stage Evaluation of AC/DC Distribution System Based on Fuzzy Recognition Network

Abstract

In order to promote the consumption of renewable energy and meet the needs of multiple AC/DC load, it is necessary to define the evolution route and development form of AC/DC distribution system. A fuzzy neural network can evaluate fuzzy problems effectively by combining artificial neural network and fuzzy recognition theory. Firstly, the evaluation index system of developmental stage for AC/DC distribution system is constructed. Secondly, the fuzzy membership function of AC/DC distribution system for developmental stage evaluation is established by selecting the reference samples of each indicator. Thirdly, interpolation method is used to interpolate the reference samples and fuzzy output, so as to establish the corresponding relation between input and output. Finally, the developmental stage evaluation problem of AC/DC distribution system is transformed into fuzzy identification problem. On the basis of fully utilize the self-organizing and self-learning ability of neural network, the developmental stage of AC/DC distribution system is evaluated. The effectiveness of proposed index system and evaluation algorithm is verified by taking an actual AC/DC distribution system as an example. The evaluation results can accurately determine the development stage of AC/DC distribution system, and provide guidance for the construction of network framework and the consumption of renewable energy.