Bond graph modeling in view of the faults detection and localization in renewable energy systems

Abstract

In this thesis, a contribution to modeling and fault detection and isolation of energy production system (photovoltaic and wind systems) is proposed. Firstly an overview is given on the world energy demand, electricity consumption and their development trend in the near future, secondly this work deals with the modeling of photovoltaic and wind turbine generation systems by bond graph approach for integration in power systems studies. The modeling of the photovoltaic generator, the wind phenomenon, the turbine mechanical system and the electrical machine, along with the corresponding converter and electrical grid is described. In the third part, we show a new methodology for fault detection and isolation of PV and wind systems, based mainly on optimal placement of sensors. This supposes the possibility to build a dynamic model of the system by using the bond graph tool, and the existence of a degradation model in order to predict its future health state. The choice of bond graph is motivated by the fact that it is well suited for modeling physical systems where several types of energies are involved.