A Fuzzy-Rule-Based PV Inverter Controller to Enhance the Quality of Solar Power Supply: Experimental Test and Validation

Hannan, M. A.; Ghani, Z. A.; Hoque, Mohammed Mozammel; Lipu, Molla Shahadat Hossain

doi:10.3390/electronics8111335

Cited by 17 publications

(5 citation statements)

References 39 publications

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“…It requires a lot of training data and is skilled at choosing membership-functions. This strategy imposes some negative impacts in real-time applications, such as a higher cost of implementation, time-consuming process to drive the controller, and increased dependency on the collective data of the states [53][54][55]. These negative aspects make these strategies unpopular for real-time applications.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Azarinfar,

Khosravi,

Soroush

et al. 2024

IET Power Electronics

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A type‐2 fuzzy logic‐based adaptive backstepping control (T2FABSC) approach is designed for an H‐bridge inverter. This inverter has an LC filter to decrease the level of total harmonic distortion (THD) that can affect the efficiency of the system. Reduction of THD and stability insurance of the filter are challenging trade‐offs, tackled here by a controller design. The performance, however, is not suitable for actual applications under a wider range of disturbances, and the parameters need to be adjusted once more for more dependable operations. Backstepping control is given a Lyapunov definition‐based adaptive mechanism that can improve this scheme's stability and robustness in the face of numerous disturbances. Additionally, the system is viewed as a “Black box” without the need for a precise mathematical model, which might lead to a lighter computing burden and simpler implementation. Moreover, a fuzzy type‐2 structure is adopted that can optimize the gains of the adaptive Backstepping controller (ABSC) in challenging conditions. The antlion optimization algorithm is employed to optimize the parameters of the membership functions in the fuzzy system, hence improving the performance of the controller. In addition, compared with different optimization algorithms, it can more quickly and accurately locate the best solutions. Finally, the findings of both the simulations and the experimental outputs are examined, proving the T2FABSC's significant robustness and faster dynamics in a variety of challenging circumstances.

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Section: Introductionmentioning

confidence: 99%

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Azarinfar,

Khosravi,

Soroush

et al. 2024

IET Power Electronics

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“…In 2017, approximately 77% of new installations were based on the extraction of electric energy from wind and solar energies [8]. In the period between 2010 and 2017, the cost of energy from PVs was reduced by three-quarters due to technological advancement [9]. The cost of wind energy generation has decreased by about half due to the reduction in wind turbine prices.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Validation of a Novel IAOA Technique-Based Offset Hysteresis Band Current Controller for Grid-Tied Photovoltaic System

Mohapatra

Sahu²,

Pati³

et al. 2022

Energies

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Renewable energy sources have power quality and stability issues despite having vast benefits when integrated with the utility grid. High currents and voltages are introduced during the disconnection or injection from or into the power system. Due to excessive inverter switching frequencies, distorted voltage waveforms and high distortions in the output current may be observed. Hence, advancing intelligent and robust optimization techniques along with advanced controllers is the need of the hour. Therefore, this article presents an improved arithmetic optimization algorithm and an offset hysteresis band current controller. Conventional hysteresis band current controllers (CHCCs) offer substantial advantages such as fast dynamic response, over-current, and robustness in response to impedance variations, but they suffer from variable switching frequency. The offset hysteresis band current controller utilizes the zero-crossing time of the current error for calculating the lower/upper hysteresis bands after the measurement of half of the error current period. The duty cycle and hysteresis bands are considered as design variables and are optimally designed by minimizing the current error and the switching frequency. It is observed that the proposed controller yields a minimum average switching frequency of 2.33 kHz and minimum average switching losses of 9.07 W in comparison to other suggested controllers. Results are validated using MATLAB/Simulink environment followed by real-time simulator OPAL-RT 4510.

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“…Distributed power generation has the advantages of saving energy, environmental protection, high efficiency, and flexibility, becoming the focus of relevant research fields worldwide. The distributed generation system with multiple power sources in parallel plays a vital role in promoting the development and utilization of renewable energy, expanding the capacity of the power supply system, and improving the reliability of the power supply [9,10]. The distributed power system has the following characteristics.…”

Section: Introductionmentioning

confidence: 99%

Inverter Design and Droop Parallel Control Strategy Based on Virtual Impedance

Wang

2022

Journal of Sensors

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The present work is aimed at improving the performance of the multiobjective energy parallel step-by-step power generation system and enhancing the reliability and stability of the energy supply. Firstly, the difficulties of the ring current control method of the inverter power supply are summarized. Secondly, the causes of ring current in the circuit are analyzed. On this basis, the topology structure of the primary circuit of the inverter unit is designed, and the simulation model of the droop control is proposed for the inverter power supply. Finally, experiments are implemented to test the performance of the model. The results demonstrate that the waveform quality of the output voltage of the parallel system controlled by the virtual impedance technology is significantly improved. Specifically, the harmonic content near the fundamental wave significantly decreases compared with the original, from 6% to about 2%. Besides, the interference of the ring current to the parallel control inverter of the power supply system is weakened, and the output stability of the inverter power supply is improved. This study designs the structure of the inverter converter based on multiobjective decision-making and discusses the droop parallel control strategy. It provides a specific reference for controlling the circuit parallel system and has positive promotion significance for sustainable energy management and the rational utilization of electric energy.

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A Fuzzy-Rule-Based PV Inverter Controller to Enhance the Quality of Solar Power Supply: Experimental Test and Validation

Cited by 17 publications

References 39 publications

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

Real-Time Validation of a Novel IAOA Technique-Based Offset Hysteresis Band Current Controller for Grid-Tied Photovoltaic System

Inverter Design and Droop Parallel Control Strategy Based on Virtual Impedance

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