Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system

Ullah, Kifayat; Ishaq, Muhammad; Tchier, Fairouz; Ahmad, Hijaz; Ahmad, Zubair

doi:10.1016/j.rineng.2023.101466

Cited by 20 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accounting for the tolerance of capacitance 𝐶 𝑏𝑢𝑠 , the electrical losses of the converter, and any additional outside influences. The overall is provided in Equation (2).…”

Section: Model Uncertaintymentioning

confidence: 99%

See 1 more Smart Citation

Revolutionary building approach for maximal photovoltaic system results to improve maximum power point tracking in solar inverter

Sridhar,

Sri Nandhini Kowsalya,

Venkatasudhahar

et al. 2024

MATEC Web Conf.

View full text Add to dashboard Cite

Due to the inherent frequency ripple in single-phase photovoltaic (PV) grid-connected solar inverters, the Maximum Power Point Tracking (MPPT) will inevitably be affected. To improve the MPPT performances, a passive LC power decoupling circuit with a Robust Sliding-Mode Control (RSMC) is proposed in this article. The frequency pulsation on the DC link is effectively canceled with the passive LC decoupling path. Thus, the MPPT accuracy is significantly enhanced, and the utilization of a small DC-link capacitor becomes possible. The resonance between the LC circuit and the main DC-link capacitor appears, which can be damped through an active damping method. The proposed RSMC offers good steady-state, dynamic performance (voltage fluctuation and settling time), and the robustness of the DC-link voltage, which is also beneficial to MPPT control in terms of high accuracy and fast dynamics. The systematic design of RSMC is presented, and a detailed parameter optimization design of the LC decoupling circuit is discussed. Experimental tests are performed on a 2.5-kW single-phase grid-connected solar inverter, and the results validate the effectiveness of the proposed strategy.

show abstract

“…Accounting for the tolerance of capacitance 𝐶 𝑏𝑢𝑠 , the electrical losses of the converter, and any additional outside influences. The overall is provided in Equation (2).…”

Section: Model Uncertaintymentioning

confidence: 99%

“…A standard grid-connected PV system consists of many power-conversion steps. The first phase involves using a DC-DC converter to increase the PV voltage, including Maximum Power Point Tracking (MPPT) [2]. The generated electricity is reversed using an inverter and then sent to the grid.…”

Section: Introduction To Photovoltaic Systemmentioning

confidence: 99%

Revolutionary building approach for maximal photovoltaic system results to improve maximum power point tracking in solar inverter

Sridhar,

Sri Nandhini Kowsalya,

Venkatasudhahar

et al. 2024

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…MPPT techniques have been widely reported in the literature, with variations in tracking speed, convergence speed, oscillation, efficiency, and components used [17][18][19][20][21]. Numerous MPPT algorithms have been developed, including the fractional short circuit current (FOCC) technique [22,23], the fractional open circuit voltage (FOCV) [24,25], the fuzzy logic controller [26,27], the perturbation and observation (P&O) [28,29], and the incremental conductance (INC) [30,31]. The P&O and INC approaches are still extensively utilized due to their straightforwardness and less expensive in implementation [32,33].…”

Section: Introductionmentioning

confidence: 99%

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

Asnil,

Krimadinata,

Astrid

et al. 2024

JESA

View full text Add to dashboard Cite

The incremental conductance method is susceptible to overshoot, oscillation, convergence errors, and the inability to adapt to rapidly changing conditions; therefore, innovation is required to ensure that this algorithm operates efficiently. This study investigates how the incremental conductance algorithm can be modified to enhance its performance, particularly in situations involving rapid environmental changes. The algorithm's performance is evaluated through simulation and subsequently compared to conventional methods and incremental conductance methods developed by previous researchers to determine how much performance increase can be achieved using the modified algorithm. The simulation results show that the second improved technique may significantly eliminate oscillations during maximum power point (MPP) tracking while also speeding up the convergence time. The results reveal that the proposed algorithm achieves an efficiency of 98.83%, which is higher than the conventional and first modified algorithms, which have efficiency values of 92.04% and 97.84%, respectively. Therefore, the second modification outperforms the other algorithms in terms of oscillation and efficiency.

show abstract

“…Implementing fuzzy logic in Maximum Power Point Tracking (MPPT) can enhance the tracking speed and efficiency of photovoltaic (PV) systems in dynamic weather conditions. (Ullah et al, 2023) Membership functions of fuzzy logic could modify the working of the PV system dynamically and, thus, may pave the way for advanced control systems towards the optimization of solar energy accumulation. (Ullah et al, 2023) In the research on MPPT, Mashhood Hasan shows special reference to soft computing.…”

Section: Introduction To Maximum Power Point Tracking (Mppt) and Its ...mentioning

confidence: 99%

“…(Ullah et al, 2023) Membership functions of fuzzy logic could modify the working of the PV system dynamically and, thus, may pave the way for advanced control systems towards the optimization of solar energy accumulation. (Ullah et al, 2023) In the research on MPPT, Mashhood Hasan shows special reference to soft computing. (Hasan, 2023) This shows that the research gives special emphasis to power extraction with speed and effectiveness.…”

Section: Introduction To Maximum Power Point Tracking (Mppt) and Its ...mentioning

confidence: 99%

Optimizing Solar Potential: A Literature Review on Advanced MPPT Techniques via Fuzzy Logic and Soft Computing

2024

IJFMR

View full text Add to dashboard Cite

This article is on the trends of change in MPPT techniques for solar energy systems, where the focus has been shifted from traditional approaches to new methods by integrating fuzzy logic and soft computing. Solar energy is one of the greatest renewable energy sources; it needs efficient conversion and storage solutions for sustainability goals of energy on a global level. Traditional MPPT techniques have seen it as a headache in dealing with the dynamic and variable nature of solar irradiance. However, significant works in the last decade have put milestones on the use of fuzzy logic and soft computing for the MPPT and reported improved performance of the system under changing environmental conditions. This paper reviews recent, so-called advanced design and analysis techniques comparatively with their traditional counterparts and offers pragmatic implications of such advances. It further explores the possibilities of integration of AI (Artificial Intelligence) and ML (Machine Learning) with MPPT, emerging solar panel technologies, and importance of broader acceptance - scalability and system integration. The review concluded with areas of recommendations for further research and reiterated the user-friendliness, cost-effectiveness, and scalability of MPPT solutions. Study results contribute toward an effort to optimize solar energy systems and point out that this is highly critical for bringing solutions to the global renewable energy mix.

show abstract

Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system

Cited by 20 publications

References 11 publications

Revolutionary building approach for maximal photovoltaic system results to improve maximum power point tracking in solar inverter

Revolutionary building approach for maximal photovoltaic system results to improve maximum power point tracking in solar inverter

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

Optimizing Solar Potential: A Literature Review on Advanced MPPT Techniques via Fuzzy Logic and Soft Computing

Contact Info

Product

Resources

About