<p>This paper presents an optimized photovoltaic water pumping system (PVWPS) driven by a three-phase induction motor (IM) and enhanced through the bio-inspired nutcracker optimization algorithm (NOA) for maximum power point tracking (MPPT). Unlike conventional systems, the proposed PVWPS eliminates chemical energy storage, increasing efficiency and sustainability. Inspired by Clark’s nutcracker birds’ foraging behavior, NOA surpasses traditional MPPT methods such as particle swarm optimization (PSO) in adapting to variable environmental conditions. The system integrates a 12-sector direct torque control (DTC) strategy and a three-level neutral point clamped (NPC) inverter, ensuring robust motor control with minimal torque ripples. Simulation results highlight NOA’s effectiveness, achieving 98.7% MPPT efficiency, a 10% increase in power extraction under partial shading, and a 15% improvement in water pumping efficiency compared to conventional approaches. These findings demonstrate NOA’s potential in advancing renewable energy technologies, particularly for off-grid water supply solutions in remote regions.</p>

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Optimization of Photovoltaic Water Pumping System Using Nutcracker Optimization Algorithm

  • Chouaib Rahli,
  • Mehdi Ouada,
  • Issam Attoui,
  • Ahmed Bouraiou,
  • Azzeddine Dekhane,
  • Mohamed Benghanem,
  • Abdesslam Ryad Mebarek,
  • Saad Salah

摘要

This paper presents an optimized photovoltaic water pumping system (PVWPS) driven by a three-phase induction motor (IM) and enhanced through the bio-inspired nutcracker optimization algorithm (NOA) for maximum power point tracking (MPPT). Unlike conventional systems, the proposed PVWPS eliminates chemical energy storage, increasing efficiency and sustainability. Inspired by Clark’s nutcracker birds’ foraging behavior, NOA surpasses traditional MPPT methods such as particle swarm optimization (PSO) in adapting to variable environmental conditions. The system integrates a 12-sector direct torque control (DTC) strategy and a three-level neutral point clamped (NPC) inverter, ensuring robust motor control with minimal torque ripples. Simulation results highlight NOA’s effectiveness, achieving 98.7% MPPT efficiency, a 10% increase in power extraction under partial shading, and a 15% improvement in water pumping efficiency compared to conventional approaches. These findings demonstrate NOA’s potential in advancing renewable energy technologies, particularly for off-grid water supply solutions in remote regions.