Distributed generation power system modeling in nonlinear Hamiltonian form

Distributed generation has dramatically changed the structure of modern power systems. In this structure, power electronic devices are extensively used providing the possibility of new control strategies in the distribution network. To implement these strategies, a complete dynamic analysis of the distributed generation system is needed. In this paper, exploiting a common feature of almost all the distributed generation components that is their individual modeling in Hamiltonian form, we propose a systematic methodology of obtaining the complete distributed generation system model. Furthermore, we show that this model is also in Hamiltonian form with certain damping properties that can be effectively used for stable control designs. As an example, a particular distributed generation system that includes wind and photovoltaic generations is modeled and simulated.