Background: Distributed Generation (DG) is facing a rapid development as a new
means of power generation. DG is affecting the power quality of the system due to uncertainty
condition and fault. Artificial Neuro Fuzzy Inference System (ANFIS) based DVR controller is
planned to regulate the voltage at the Point of Common Coupling (PCC) within the limits and stabilize
the operation of the system in the event of disturbances. The simulated results reveal that
ANFIS based control scheme shows better performance compared to traditional controller.
Methods: This system analysis the performance of dq0 based Proportional Integral and Adaptive
Neuro Fuzzy Inference System controllers with DVR, which incorporates a solar system as a DC
voltage source. Incremental Conductance MPPT Algorithm method tracks the maximum power
point of solar system. An ANFIS based DVR controller method is implemented for the maximum
injected voltage, ANFIS based on Takagi Sugeno Fuzzy inference System (FIS) is introduced. The
generated fuzzy rules can be trained by using neural network and attain desired output. So as to
mitigate the voltage sags /swells condition in the test system.
Results: It is observed from the results, ANFIS based DVR controller can compensate the load
voltage is kept at a constant value and to maintain the stable operation of DG systems under, voltage
sag/swell and fault conditions, further harmonic voltage is compensated and the voltage is
Conclusions: ANFIS based DVR conditioner has better dynamic response and Total Harmonic
Distortion is less compared with conventional controller.