Power quality improvement in distribution system using DVR with minimum energy injection: An intelligent control scheme [articol]

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.