Abstract:
In the proposed paper, an intelligent control
technique Modified Gravitational Search Algorithm
(MGSA) for DVR is proposed for power quality (PQ)
upgrade of distribution system. The MGSA is a joined
execution of the Gravitational Search Algorithm (GSA)
and Artificial Neural Network (ANN). The control
system elements of HRES are thinking about the
informative of PQ inconveniences. In this, the MGSA is
done in two stages, the initial step is to generate the
dataset using GSA technique and the second step is to
develop the dataset for the prediction of duty cycle using
ANN. Contingent upon the issues of PQ the MGSA
enhances the required amount of control signal to the
converter for recoup the initial operating condition.
With the help of the proposed technique, the PQ issues
are mitigated with advancement in fast execution and
closeness to the exact value in decreasing the SAG
issues for any sensitive loads connected to the
distribution system. Hence this work is executed and
assessed using MATLAB/simulink platform at different
stages like KF, EKF, PSO and ABC. Thus the proposed
work reveals that the examination exhibits the
prevalence of the proposed approach and affirms its
capability to take care of the PQ issues and upgrade the
execution of the DVR in the distribution systems.
