Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications

Rezk, Hegazy; Aly, Mokhtar; Al‐Dhaifallah, Mujahed; Shoyama, Masahito

doi:10.1109/access.2019.2932694

Cited by 186 publications

(111 citation statements)

References 37 publications

Supporting

Mentioning

111

Contrasting

Order By: Relevance

“…The boost dc/dc converter is operated at the continuous conduction mode (CCM) for efficient power conversion and continuous input current from the PEMFC source. The output voltage of the boost dc/dc converter is a step-up from the low input voltage of the PEMFC and the step-up ratio is determined by the duty cycle D of the converter [33]. The output voltage V out and input voltage V in are related as following:…”

Section: Fuel Cell Electrical Systemmentioning

confidence: 99%

“…The FLC has found wide application in MPPT for PV systems, wherein enhanced performance is achieved over classical methods [33]. Fig.…”

Section: Flc Based Mppt Of Pemfcmentioning

confidence: 99%

“…From another side, fuzzy logic control (FLC) methods provide single loop MPPT controllers with high operating performance [33]. The design of FLC MPPT for FC applications has been presented in [34].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

Aly

Rezk

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Recently, fuel cells (FCs) have found vast employment in several applications. However, unique maximum power point tracking (MPPT) exists for each set of operating condition for the efficient operation of FCs. Therefore, this paper presents a differential evolution optimization algorithm (DEOA)based optimized fuzzy-logic (OFLC) MPPT method for enhancing the maximum power extraction of FCs. The various settings for the membership functions (MFs) of the input and output variables are optimized in the proposed method. Thence, more degree-of-freedom can be employed for accurate and fast tracking of the optimal power point of the proton exchange membrane FCs (PEMFCs). Whereas, existing MPPT methods in the literature for FC applications suffer from decreased degree-of-freedom for optimizing their performance, and lack of adaptivity, which obstructs their suitability for the wide operating range of FCs. The superiority and performance effectiveness of the proposed OFLC MPPT method have been validated and compared with the most prevalent techniques in the literature. Moreover, the robustness and sensitivity of the proposed OFLC MPPT method have been tested at various step changes in the water content of membrane and various temperature changes. Moreover, the proposed design of the suggested OFLC MPPT is general and it can be implemented on low-cost microcontrollers. The results verify the superior performance of the proposed OFLC MPPT method from the accurate and fast MPPT extraction, smooth output power with low ripple, and simplicity of the design point of views. INDEX TERMS Differential Evolution Optimization Algorithm (DEOA), fuel cell (FC), fuzzy logic control (FLC), maximum power point tracking.

show abstract

Section: Fuel Cell Electrical Systemmentioning

confidence: 99%

“…The FLC has found wide application in MPPT for PV systems, wherein enhanced performance is achieved over classical methods [33]. Fig.…”

Section: Flc Based Mppt Of Pemfcmentioning

confidence: 99%

See 1 more Smart Citation

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

Aly

Rezk

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…When the power of the array is greater than 6 kW, as happens in commercial solar plants, three phase grid connected inverters [1,2] are used. For lower powers, as in the case of solar home systems, single phase inverters [3][4][5][6] are used. On the other hand, the input voltage of the PV inverter depends on the number of solar panels connected in series.…”

Section: Introductionmentioning

confidence: 99%

“…In micro-inverters, string-inverters, and some central-inverters, the required step-up DC-DC converter is usually a boost converter [2,3,5] or a flyback [6], which also provides isolation between the photovoltaic panel and the grid. However, the inclusion of the step-up converter penalizes efficiency and reduces reliability, since a fault interrupts the harvest of PV energy until the module is replaced.…”

Section: Introductionmentioning

confidence: 99%

New Fast MPPT Method Based on a Power Slope Detector for Single Phase PV Inverters

Espı́

Castelló

2019

Energies

View full text Add to dashboard Cite

This article presents a novel MPPT method for two stage PV inverters with a single phase connection to the power grid. The method takes advantage of the 100 Hz/120 Hz harmonic present on the DC-bus voltage to guide the MPP search. It consists of detecting the slope of the P-V curve and integrating it to obtain the duty-cycle. The power slope detector (PSD) is able to calculate the P-V slope to command the MPPT even at very low powers, where the amplitude of the oscillations is barely perceptible. Design equations are provided, both of the gain of the PSD and of the gain of the MPPT integrator. It also shows how this PSD-MPPT strategy can be combined with the power control, allowing regulation of powers lower than those of the MPP. The power control loop is analyzed, and its stability is related to a single gain to be designed. The PSD-MPPT is tested in a two stage PV inverter, where the step-up DC-DC converter consists of three parallel boost converters. The results show that the PSD-MPPT method can work without the measurement of the current in the boost converters, which implies a cost reduction. A PV efficiency of about 99.8% is obtained with a usual ripple in the DC-bus of 4% peak-peak. In addition, the PSD-MPPT method is characterized as being extremely fast, both in the MPP search and in the power control, with response times around 50 ms. The PSD-MPPT is a simple algorithm of constant parameters that can be solved in a low cost microcontroller at a sampling frequency of about 2 kHz, requiring only the voltage and current of the PV array.

show abstract

Renewable‐Energy‐Powered EV Charging Station for Microgrid PSO‐Based Controller for PV‐Powered EV Charging Station

Punitha,

Aruna,

Kanthammal

2024

Microgrids for Commercial Systems

View full text Add to dashboard Cite

Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications

Cited by 186 publications

References 37 publications

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

New Fast MPPT Method Based on a Power Slope Detector for Single Phase PV Inverters

Renewable‐Energy‐Powered EV Charging Station for Microgrid PSO‐Based Controller for PV‐Powered EV Charging Station

Contact Info

Product

Resources

About