Development and experimental validation of novel robust MPPT controller based on bond graph and fuzzy logic for PV system under variable weather conditions

Abstract

Traditional MPPT algorithms have demonstrated effective performance relative to their flexibility and simplicity of implementation. However, its main disadvantages are the ineffectiveness and the large oscillations around the MPP under non-uniform solar irradiance. To achieve better performance in the power extraction from the PV system, we propose in this work a new hybrid controller focused on the bond graph and fuzzy logic (BG-FL-MPPT) to track the maximum power point under different weather conditions. The aim of the research is BG-FL-MPPT development, which will guarantee the optimum power reference operation of the system with greater efficiency, less error in the stability and voltage fluctuations. A rigorous comparison was made between the developed controller and other two MPPT algorithms, including perturbation and observation (P&O) and particle swarm optimization (PSO), in three distinct test scenarios to check the effectiveness of the suggested control. In terms of stability and robustness, it was found from the results obtained that the established controller assures the required operation of the studied system by tracking efficiency of up to 99.95% to achieve the maximum power point. A 90% faster convergence rate is obtained with a decrease in oscillations of 94.95%. The experimental tests were performed using a high-performance experimental platform, and in the same metrological conditions, an in-depth comparison of the experimental results with the results obtained by simulation was made.

Optimal efficiency point membership incorporating fuzzy logic and automatic control of various charging stages for electric vehicles

“…The new controller could track and find the optimal efficiency point in the system. The experimental results showed that the stability and robustness of the new algorithm controller were much higher than those of traditional algorithm controllers (Badoud et al, 2021). Bhukya and Nandiraju found that traditional algorithms couldn't fully track the optimal power point due to the randomness and intermittency of photovoltaic systems.…”

Maximum Power Point Tracking of an Off-Grid Photovoltaic System Consisting of a Series Connected Supercapacitor with a Step-Down Converter

“…The MPPT efficiency is the percentage ratio between the PV array's actual output power and expected output power (22). A PV system's MPPT efficiency is measured using two different schemes: static MPPT and dynamic MPPT (23). An MPP tracker's static MPPT efficiency is calculated by applying a static or constant irradiance profile to the PV system's power stage.…”

Maximum Power Extraction from PV System using fast and Robust Backstepping Controller

“…Solar energy is the abundant, most prominent, inexhaustible, and clean as compared to the non-REs sources [3]. These sources rely on environmental conditions for power generation, such as temperature and irradiance [4]. The SE has become the prime area of active research due to the aforementioned features and characteristics.…”

“…Currently, most of the system depends upon the non-renewable energy resources. Though these resources fulfil the energy demands but they also add some harmful effects to environment, i.e., they generate harmful gases which deplete the ozone layer, beside this these resources depend upon the fossils fuels which are depleting rapidly [4]. Due to environmental concerns and the ending fossil fuels, researchers tend to create new energy resources that can overcome the environmental issues as well as has a long-lasting nature.…”