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Due to the intermittent nature of solar photovoltaic (PV) system conventional maximum Power Point Tracking (MPPT) frequently facing difficulties to optimize maximum power. This paper addresses a novel methodology for optimizing MPPT in stand-alone photovoltaic (PV) systems using a Fractional Order Proportional-Integral-Derivative (FOPID) controller. It influences the fractional calculus concept, meliorating the control system’s capability to adapt dynamically to non-linearities in PV systems. It impacts the fractional calculus concept, also meliorates the control system’s capability to adapt dynamically to non-linearities in PV systems. The MATLAB simulation results depicts that the FOPID-based MPPT control strategy prominently improvise the tracking accuracy, curtails steady-state oscillations and enhances overall system performance relative to traditional MPPT methods. The proposed controller elevates the system’s resilience to external disturbances, ensuring reliable real-world functioning. The results show that the FOPID controller provides a more durable and effective MPPT solution in autonomous PV systems, promising growth in renewable energy.

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Optimizing Power Output in Stand-Alone PV Systems with a Fractional Order PID-Based MPPT Controller

  • 会议论文

  • 发表日期：

    2026年

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  • Chava Sunil Kumar,
  • Sujatha Banka,
  • Vadisina Sai Priya,
  • Adavelly Navya,
  • Challa Nethra,
  • Guguloth Srikanya

摘要

Due to the intermittent nature of solar photovoltaic (PV) system conventional maximum Power Point Tracking (MPPT) frequently facing difficulties to optimize maximum power. This paper addresses a novel methodology for optimizing MPPT in stand-alone photovoltaic (PV) systems using a Fractional Order Proportional-Integral-Derivative (FOPID) controller. It influences the fractional calculus concept, meliorating the control system’s capability to adapt dynamically to non-linearities in PV systems. It impacts the fractional calculus concept, also meliorates the control system’s capability to adapt dynamically to non-linearities in PV systems. The MATLAB simulation results depicts that the FOPID-based MPPT control strategy prominently improvise the tracking accuracy, curtails steady-state oscillations and enhances overall system performance relative to traditional MPPT methods. The proposed controller elevates the system’s resilience to external disturbances, ensuring reliable real-world functioning. The results show that the FOPID controller provides a more durable and effective MPPT solution in autonomous PV systems, promising growth in renewable energy.