ANN-supervised Interface System for Microturbine Distributed Generator

Abstract

Distributed generators based on Micro-turbine Generators (MTGs) are used widely for their proven advantages e.g. flexibility, Compatibility, low emissions…etc. This paper presents a novel interface system based on an artificial neural network (ANN) for the MTGs. The proposed interface system can identify and adapt itself to the operation mode of the system i.e. grid-connected, islanded, or fault modes. The ANN system is integrated with a back-to-back voltage source converter (VSC) interface to control MTGs in different operation modes.