Design and analysis of photovoltaic system with adaptive H-ANFIS-FOPIDN controller based on dwarf mongoose optimization algorithm

The manuscript proposes the design and analysis of the Adaptive H-ANFIS-FOPIDN Controller based on Dwarf Mongoose Optimisation Algorithm for the Solar PV system. The Solar PV system is a combination of Solar PV array along with the Dwarf Mongoose Optimized Hybrid ANFIS—Fractional order PID controller with filter (DMO-H-ANFIS-FOPIDN) controlled interleaved Superlift Luo converter (I-SLC) and H-6 inverter based on Multi Carrier Sinusoidal Pulse Width Modulation (MCSPWM). The I-SLC is based on the voltage lifting technology which is basically designed to achieve high voltage transfer gain with lower ripple at low duty cycle, high power density and enhanced stability and robustness. The control strategy of I-SLC is designed using the H-ANFIS-FOPIDN controller, whose parameters are optimized using the Dwarf Mongoose Optimisation Algorithm. The comparative analysis of the Solar PV system is investigated and analysed as compare to other modern state of the art controllers. The output of the Solar PV system validates the implementation of the control strategy (DMO-H-ANFIS-FOPIDN) and MCSPWM) with better accuracy of 96.02%, stability and robustness, higher efficiency, low THD of 0.37%, less settling time of 0.01 Sec., adapting dynamic conditions and handling transient responses and enhanced overall system performance during nonlinearity. The Solar PV system is modelled, analysed and validated in MATLAB Simulink and followed by Real-Time simulator OPALRT 4510.