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Maximum Power Point Tracking for Cascaded PV-Converter Modules Using Two-Stage Particle Swarm Optimization.

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This study introduces a novel two-stage particle swarm optimization (PSO) for maximum power point tracking (MPPT) in photovoltaic (PV) systems under partial shading. The enhanced method achieves superior power output by optimizing individual PV module performance.

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Control Systems

Background:

  • Partial shading conditions (PSCs) significantly reduce the efficiency of photovoltaic (PV) systems.
  • Conventional maximum power point tracking (MPPT) methods struggle to find the global maximum power point under PSCs.
  • Cascaded PV-converter modules require advanced control strategies for optimal energy harvesting.

Purpose of the Study:

  • To develop a robust MPPT control scheme for cascaded PV-converter systems under PSCs.
  • To enhance the tracking speed and accuracy of MPPT algorithms.
  • To ensure individual PV modules achieve maximum power generation irrespective of shading.

Main Methods:

  • A novel two-stage particle swarm optimization (PSO) algorithm is proposed.
  • The shuffled frog leaping algorithm (SFLA) grouping method is integrated with PSO for global extremum searching.
  • An adaptive speed factor is introduced to accelerate convergence.
  • A Pulse Width Modulation (PWM) algorithm with permuted switching of PV sources is applied.

Main Results:

  • The proposed MPPT scheme effectively tracks the global maximum power point under PSCs.
  • Simulations demonstrate that each PV module achieves maximum power generation according to its illumination level.
  • The novel control method significantly improves power output compared to conventional P&O and PSO methods.
  • The system successfully supplies an AC load via a DC-AC H-bridge.

Conclusions:

  • The proposed two-stage PSO-based MPPT control is highly effective for cascaded PV-converter systems under PSCs.
  • The integration of SFLA and adaptive speed factor enhances tracking performance.
  • This method ensures optimal power extraction from each PV module, maximizing overall system efficiency.