Robust MPPT Control of Stand-Alone Photovoltaic Systems via Adaptive Self-Adjusting Fractional Order PID Controller

The Photovoltaic (PV) system is an eco-friendly renewable energy that integrated with a DC-DC buck-boost converter to generate electrical as per the variations in solar irradiance and outdoor temperature. This article proposes novel Adaptive Fractional Order PID (A-FOPID) compensator self-adjusting fractional orders extract maximum power from stand-alone PV ambient conditions change. reference voltage generated using feed-forward neural network. conventional FOPID compensator, which operates on output error of interleaved converter, employed baseline maximum-power-point-tracking (MPPT) controller. controller retrofitted online state-error-driven adaptation law dynamically modifies controller’s integral differential operators. formulated nonlinear hyperbolic scaling function system’s state error-derivative variables. augmentation supplements adaptability, enabling it manipulate flexibly tightness applied control effort operating efficacy proposed analyzed by carrying out customized simulations MATLAB Simulink environment. simulation results show MPPT scheme yields mean improvement 25.4% tracking accuracy 11.3% transient response speed under varying environmental conditions.