Article Details
  • Published Online:
    October  2025
  • Product Name:
    The IUP Journal of Electrical & Electronics Engineering
  • Product Type:
    Article
  • Product Code:
    IJEEE031025
  • DOI:
    10.71329/IUPJEEE/2025.18.4.75-82
  • Author Name:
    Prabhakar Prasad Pandey, Swatantra Verma, and Manoj Kumar Dewangan
  • Availability:
    YES
  • Subject/Domain:
    Engineering
  • Download Format:
    PDF
  • Pages:
    75-82
Volume 18, Issue 4, October-December 2025
Intelligent Control of Grid-Connected Solar PV Systems Using Adaptive Algorithms: A Review
Abstract

The paper reviews adaptive algorithm-based intelligent control methods for gridconnected solar photovoltaic (PV) systems. Grid synchronization and adaptive maximum power point tracking (A-MPPT) are used in the suggested control strategy to maximize energy harvesting and grid stability. According to the review, the system can adjust dynamically to changing grid conditions, like voltage and frequency fluctuations, and environmental conditions, such as temperature and irradiance, thanks to the adaptive algorithms. This control strategy operates to improve the grid-connected solar PV power system’s overall performance, including increased energy harvesting, decreased total harmonic distortion (THD), and improved grid stability. The adaptive control technique maintains MPPT, voltage stability, and power quality by constantly changing control parameters in real-time in response to environmental changes like temperature fluctuations and solar irradiance. Also, this technique improves grid support features like frequency regulation and reactive power compensation, which increases grid durability and dependability. For voltage source inverter (VSI) operation, the suggested intelligent control system combines self-tuning adaptive controller with incremental conductance and MPPT. The results show how effective the adaptive algorithms are in enhancing system performance under a range of grid conditions, reducing steady-state error, and achieving quick dynamic response. Using this methodology, it improves the integration of renewable energy sources into modern power systems in a more intelligent and reliable way.

Introduction

A significant strategy for reaching the global demand for energy and reducing the environmental problems related to fossil fuels is the quick development of renewable