Review on Design and Simulation of a Grid-Integrated Solar System Using AI-Based Optimization for Power Quality Enhancement

Authors

  • Saddam Hussain Scholar, Department of Electrical Engineering, RKDF University, Bhopal, India
  • Varsha Mehar Assistant Professor, Department of Electrical Engineering, RKDF University, Bhopal, India
  • Abhimanyu Kumar Associate Professor, Department of Electrical Engineering, RKDF University, Bhopal, India

Keywords:

Grid-Integrated Solar System (GI_SS), Photovoltaic (PV), Artificial Intelligence (AI), Grey Wolf Optimisation (GWO), Maximum Power Point Tracking (MPPT), Power Quality Enhancement

Abstract

The rising worldwide appetite for clean and sustainable energy has pushed solar photovoltaic (PV) systems to be more readily integrated into the modern power grid. However, technical problems like voltage instability, harmonic distortion, and changing irradiance conditions impact the performance and dependability of grid-connected PV systems. This review paper presents the design and simulation of a Grid-Integrated Solar System (GI_Solar) with Artificial Intelligence (AI)-based optimisation to enhance the power quality overall. The authors discuss the principal components of grid-compatible PV systems, which are PV arrays, DC–DC converters, and inverters, while AI-driven Maximum Power Point Tracking (MPPT) algorithms play a crucial role. The Grey Wolf Optimisation (GWO) method is being designated because of its outperforming capabilities against the classical Perturb and Observe (P&O) methods in obtaining faster convergence, greater tracking accuracy, and improved adaptability under changing environmental conditions. The AI approach and MATLAB/SIMULINK simulations lead to significantly less Total Harmonic Distortion (THD) and better voltage stability and synchronisation with the grid. The authors of the review emphasise that the application of advanced optimisation techniques in grid-connected PV systems will impart stability, efficiency, and quality to the renewable energy generation of the future.

References

Raut DB, Bhattrai A. Performance analysis of grid connected solar pv system using matlab/simulink. InRentech Symposium Compendium 2013 Sep (Vol. 3, pp. 48-54).

Kassem Y, Gokcekus H, Guvensoy A. Techno-economic feasibility of grid-connected solar PV system at Near East University hospital, Northern Cyprus. Energies. 2021 Nov 15;14(22):7627.

Zidane TE, Aziz AS, Zahraoui Y, Kotb H, AboRas KM, Jember YB. Grid-connected Solar PV power plants optimization: A review. IEEE Access. 2023 Jul 28;11:79588-608.

Published

2026-03-24

Issue

Vol. 7 No. 2 (2025): Journal of Advanced Research in Modeling and Simulation

Section

Review Article

Copyright (c) 2026 Journal of Advanced Research in Modeling and Simulation

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