Also Available Domains Microgrids
The main objective of this project is ability to adjust the gain based on the frequency deviation, and ability to handle more non-linearity in the system dynamics
In this project, an Adaptive Neuro-Fuzzy Inference System (ANFIS) based POD controller to damp Low-Frequency Oscillations (LFOs) induced by IMs in hybrid AC/DC microgrids is proposed. The proposed supplementary POD controller was embedded to the Energy Storage System (ESS) controller, which provides additional damping power proportional to the frequency deviation.
The following two features namely: 1) ability to adjust the gain based on the frequency deviation, and 2) ability to handle more non-linearity in the system dynamics, make the proposed adaptive ANFIS based POD controller more unique compared to conventional POD controllers.
The effectiveness of the proposed ANFIS-POD controller is verified using non-linear dynamic simulations considering a range of disturbances in a hybrid AC/DC microgrid and different combinations of parallel operating IMs. The proposed system is simulated in MATLAB/SIMULINK.
Keywords: Adaptive Neuro-Fuzzy Inference System (ANFIS), hybrid AC/DC microgrid, Induction Machine (IM), Low Frequency Oscillations (Lfos), Power Oscillation Damping (POD) controller.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB / 4 GB (Min)
Processor : I3 / I5(Mostly prefer)