An Intelligent Estimation Based on Multi-model and Neural Approach for an Isolated Wind System
摘要
This paper presents an intelligent estimator for a wind system. This estimator is based on the combination of two powerful tools that are neural and multi-model approach. This estimation approach based on artificial intelligence is exploited to estimate currents of an isolated wind system based on PMSG. The studied system contains a turbine which, under the wind, drives in rotation a PMSG that generates electricity towards an isolated site via multilevel controlled rectifier.