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Design and Simulation of a 5 MW Grid-Connected Solar PV System Using Incremental Conductance MPPT in MATLAB

  • Unique Paper ID: 178232
  • Volume: 11
  • Issue: 12
  • PageNo: 3565-3568
  • Abstract:
  • The increasing demand for renewable energy has made solar photovoltaic (PV) systems a vital component of modern power grids. This project presents the design, modeling, and simulation of a 5 MW grid-connected solar PV system using MATLAB/Simulink, incorporating the Incremental Conductance (INC) Maximum Power Point Tracking (MPPT) algorithm to enhance energy extraction efficiency. The system consists of a PV array, a DC-DC boost converter controlled by the INC-MPPT algorithm, a three-phase voltage source inverter (VSI), and a grid synchronization mechanism using a Phase-Locked Loop (PLL). The INC-MPPT technique dynamically adjusts the duty cycle of the boost converter to ensure maximum power transfer under varying irradiance and temperature conditions. Simulation results demonstrate the system's ability to efficiently track the maximum power point (MPP) with minimal oscillations, achieving a tracking efficiency of over 98%. The inverter converts the DC power to AC, synchronizes with the grid, and maintains stable power injection under different environmental conditions. The study validates the effectiveness of the INC-MPPT algorithm compared to traditional methods like Perturb & Observe (P&O), highlighting its faster convergence and reduced power fluctuations. This work provides a comprehensive simulation framework for large-scale PV integration into the grid, serving as a valuable reference for researchers and engineers in renewable energy system design. Future enhancements could explore hybrid MPPT techniques, battery storage integration, and real-time hardware implementation for improved performance.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 3565-3568

Design and Simulation of a 5 MW Grid-Connected Solar PV System Using Incremental Conductance MPPT in MATLAB

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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