Use of neural network based DVR for the reduction of power quality issues in composite micro-grid

摘要

Most of today's every power system networks deals with a serious scenario of Power quality. This problem had ever more observed with the advent of practical hardware, in which it will carry out serious impact in the eminence of power supply in to the micro-grid networks. Matter by reason of power quality, it is produced and critical to a non-common normal current and voltage re-emergence. It takes with reference to the distress of sophisticated electronic gadgets and renewable vigor sources. The predominant matter is centers to the voltage enlargements and dips. In this paper the instigator introduces a precise method for the bulge of voltages and dips. In the direction of revise the topic pointed out above for modified power types of electronic cog is embraces. Solitary, dynamic voltage restorer (DVR), is a leading progressed control hardware that can be utilized in micro-grids. If any uncertainty produced in the micro-grid DVR act as most favorably to ease the power quality problems. This job clarifies the MATLAB consequences of a dynamic voltage restorer (DVR) demonstrating with investigation. Particular form of controller's similar to PI and NN controller like (proportional integral and neural network) is utilized in this DVR system. In this system procedure, DVR NN controller actualizes modified through the conventional PID-controller can be used examine a builded Composite micro grid system with Renewable sources. The newly developed controller is faster than traditional process initiated controller. By the use of MATLAB replication tools, presentation of the system shall be considered. To find the performance of the suggested NN based DVR which is simulated for the power loss reduction, power factor correction, and active and reactive power flow control. From the simulation results, NN based DVR is better compared to PI based DVR.