Abstract

Photovoltaic system is utilized to generate energy that relies upon the ecological conditions, for example, temperature, irradiance, and the load associated with it. Considering the non-linear component of photovoltaic (PV) array and the issue of low effectiveness because of the variable natural conditions, the Maximum Power Point Tracking (MPPT) method is required to extract the maximum power from the PV system. The adopted control is executed utilizing an Adaptive Sliding Mode Controller (ASMC) and the enhancement is actualized utilizing an Improved Pattern Search Method (IPSM). This work employs IPSM based optimization approach in order to command the underlying ASMC controller. The upper level decision determines the sliding surface for the adaptive controller. As a non-linear strategy, the stability of the adaptive controller is guaranteed by conducting a Liapunov analysis. On the practical side, MATLAB/Simulink is used as simulator for the controller implementation and coupling with PSIM in order to connect it with the PV system object of control. The simulation results validate that the proposed controller effectively improves the voltage tracking, system power with reduced chattering effect and steady-state error. The performance of the proposed control architectures is validated by comparing the proposals with that of the well-known and widely used Proportional Integral Derivative (PID) controller. That operated as a lower level controller for a Perturb & Observe (P&O) and Particle Swarm Optimization (PSO).

Highlights

  • Energy is currently recognized as the most demanded resource in our daily lives, being the essential part that determines the development of economy as well social growth

  • The simulations of PV module and power electronic converter with Maximum Power Point Tracking (MPPT) controller are performed in PSIM (PowerSim)

  • We will compare the performance of the Adaptive Sliding Mode Controller (ASMC) with that one of the Proportional Integral Derivative (PID) controller

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Summary

Introduction

Energy is currently recognized as the most demanded resource in our daily lives, being the essential part that determines the development of economy as well social growth. Energy crises are highly present, and can be reduced by the optimum utilization of sustainable energy. Solar energy is the most commonly available free energy renewable resource across the world, which is clean, sustainable, and environmentally friendly [1]. Photovoltaic technology is used to obtain electrical energy from solar energy by using PV panel. The behavior of the desired PV output is of non-linear type. This is what makes its operation difficult. The main figure of interest is the Maximum Power Point (MPP) which can be altered because of variable environmental conditions (i.e., solar irradiance and temperature) at different operating points. The current-voltage (I-V) and power-voltage (P-V) characteristics will

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