Open Access

ARTICLE

Genetic Algorithm Based Smart Grid System for Distributed Renewable Energy Sources

by M. Mythreyee^*, Dr A. Nalini

Department of Electrical and Electronics Engineering, Dr. M.G.R. Educational and Research Institute, Maduravoyal, Chennai, 600 095, Tamilnadu, India

* Corresponding Author: M. Mythreyee. Email:

Computer Systems Science and Engineering 2023, 45(1), 819-837. https://doi.org/10.32604/csse.2023.028525

Received 11 February 2022; Accepted 02 April 2022; Issue published 16 August 2022

Abstract

This work presents the smart grid system for distributed Renewable Energy Sources (RES) with control methods. The hybrid MicroGrids (MG) are trending in small-scale power systems that involve distributed generations, power storage, and various loads. RES of solar are implemented with boost converter using Maximum Power Point Tracking (MPPT) with perturb and observe technique to track the maximum power. Also, the wind system is designed by permanent magnet synchronous generator that includes boost converter with MPPT technique. The battery is also employed with a Direct Current (DC)-DC bidirectional converter, and has a state of charge. The MATLAB/Simulink Simscape software is used to design the proposed model. The switching element of all converters is metal oxide semiconductor field effect transistor. The hybrid system is controlled by a voltage source controller using Proportional Integral Derivative (PID)-Genetic Algorithm (GA), and inductors-capacitors filter is used to reduce the system’s harmonics. Also, smart meters are used for monitoring purposes in residential loads. This paper analyses the performances of the MG against various scenarios.

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Keywords

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