3 research outputs found
Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator
In this paper, a neural network predictive controller is proposed to regulate
the active and the reactive power delivered to the grid generated by a
three-phase virtual inertia-based inverter. The concept of the conventional
virtual synchronous generator (VSG) is discussed, and it is shown that when the
inverter is connected to non-inductive grids, the conventional PI-based VSGs
are unable to perform acceptable tracking. The concept of the neural network
predictive controller is also discussed to replace the traditional VSGs. This
replacement enables inverters to perform in both inductive and non-inductive
grids. The simulation results confirm that a well-trained neural network
predictive controller illustrates can adapt to any grid impedance angle,
compared to the traditional PI-based virtual inertia controllers.Comment: NAPS 2019 Conferenc
Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators
In this paper a neural network heuristic dynamic programing (HDP) is used for
optimal control of the virtual inertia based control of grid connected three
phase inverters. It is shown that the conventional virtual inertia controllers
are not suited for non inductive grids. A neural network based controller is
proposed to adapt to any impedance angle. Applying an adaptive dynamic
programming controller instead of a supervised controlled method enables the
system to adjust itself to different conditions. The proposed HDP consists of
two subnetworks, critic network and action network. These networks can be
trained during the same training cycle to decrease the training time. The
simulation results confirm that the proposed neural network HDP controller
performs better than the traditional direct fed voltage and reactive power
controllers in virtual inertia control schemes.Comment: NAPS 2019 Conference. arXiv admin note: substantial text overlap with
arXiv:1908.05191; text overlap with arXiv:1908.0519