Modeling and Simulation of Modified MPPT Techniques under Varying Operating Climatic Conditions

Abstract

Enhancing the performance of photovoltaic (PV) systems has recently become a key concern because of the market demand for green energy. To obtain the most possible power from the solar module, it is imperative to allow the PV system to operate at its maximum power point (MPP) regardless of the climatic conditions. In this study, a comparison of distinctive Maximum Power-Point Tracking (MPPT) techniques is provided, which are Perturb and Observe (P&O) and Modified Variable Step-Size P&O, as well as Incremental Conductance (INC) and Modified Variable Step-Size INC, using a boost converter for two types of solar panels. Using MATLAB software, simulations have been performed to assess the efficiency of the solar module under several environmental conditions, standard test conditions (STCs), and sudden and ramp variations in both solar irradiance and temperature. The output power efficiency, time response, and steady-state power oscillations have all been taken into account in this study. The simulation results of the improved algorithms demonstrate an enhancement in the PV module performance over conventional algorithms in many factors including steady-state conditions, tracking time, and converter efficiency. Furthermore, a boost in the dynamic response in monitoring the MPP is observed in a variety of climatical circumstances. Moreover, the proposed P&O MPPT algorithm is implemented in a hardware system and the experimental results verified the effectiveness, regarding both fast-tracking speed and lower oscillations, of the proposed Variable Step-Size P&O algorithm and its superiority over the conventional P&O technique.

Automated Solar PV Simulation System Supported by DC–DC Power Converters

“…In the proposed system, only two well-known MPPT techniques were effectively implemented, namely, hill climbing (HC) and perturb and observe (P&O) [26,27]. Theoretically, other MPPT techniques [28,29] can be implemented, although some of them are usually complex and require high-speed processors, which might not be compatible with the PLC adopted. An article presenting a modified fuzzy logic control algorithm for the extraction of maximum power through PV systems under severe climatic drifts can be found in [30].…”

“…Thus, in this condition, the sliding surface specified in ( 28) is sufficient to ensure the necessary stability and robustness of the closed-loop control system as given by [38]. Parameter β defined in (28) is associated with the time constant of the first-order response of the input current (β > 0). Based on ( 26) and (28), it is now possible to define a theoretical sliding surface as described by Equation (29).…”

“…Parameter β defined in (28) is associated with the time constant of the first-order response of the input current (β > 0). Based on ( 26) and (28), it is now possible to define a theoretical sliding surface as described by Equation (29).…”

Enhanced Incremental Conductance Maximum Power Point Tracking Algorithm for Photovoltaic System in Variable Conditions

“…Renewable and sustainable energy sources have emerged as an imperative substitute for fossil fuels, which are associated with numerous adverse environmental consequences, including climate change and air pollution manifested as CO2 emissions [1,2]. Among renewable energy sources, solar energy is considered the most viable renewable energy source for addressing these challenges due to its abundant availability [3,4], pollution-free, and requires little maintenance [5,6].…”

An Intelligent and Hybrid PDOA+MO based MPPT Controlling Mechanism for Grid-PV Systems

“…It is affected by both temperature and irradiance level. Regulating the Maximum Power Point is crucial due to the non-linear I-V traits of PV modules and the dependency of their output on factors like solar radiation, weather, and load capacity [9,10] operating zone for peak power extraction from a PV system. Increased oscillations and leakage currents closer to the MPP zone are brought on by the Hill Climbing (HC) algorithm, which disturbs the duty cycle of the switched mode converter [11].…”