Akbar Karimipouya - Department of Electrical Engineering, Razi University, Kermanshah, Iran
Shahram Karimi - Department of Electrical Engineering, Razi University, Kermanshah, Iran
Hamdi Abdi - Electrical Engineering Departments, Engineering Faculty, Razi University, Kermanshah, Iran.

the main challenge in associate islanded Micro grid (MG) is the frequency stability due to the inherent low-inertia feature of distributed energy resources. That is why, energy storage devices, are utilized in MGs as the promising sources for grid short-term frequency regulation. Though energy storage devices, improve the dynamic response of the load frequency control system, these devices increase system costs. Moreover, the modification or uncertainty of the system parameters will significantly degrade the performance of the conventional load-frequency control system. This article proposes the implementation of rotating-mass-based virtual inertia in Double-Fed Induction Generator (DFIG) to support the primary frequency control associated an adaptive Neuro-Fuzzy Inference System (ANFIS) controller, as the secondary frequency control. The simulation results illustrate that the suggested control scheme ameliorate the dynamic response and performance of the load frequency control system and also the studied islanded MG remains stable, despite severe load variation and parametric uncertainties.

Microgrid, Frequency Control, DFIG, Virtual Inertia, ANFIS