Analysis and enhancement of PV efficiency with hybrid MSFLA–FLC MPPT method under different environmental conditions

Li, Yong; Samad, Sarminah; Ahmed, Faraedoon Waly; Abdulkareem, Sarkew S.; Hao, Siyu; Rezvani, Alireza

doi:10.1016/j.jclepro.2020.122195

Cited by 64 publications

(23 citation statements)

References 29 publications

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“…Li [ 20 ] developed the novel control system that involves the battery and PV, which are connected to the grid. The developed FLC and a modified scuffled frog leaping algorithm (MSFLA) are utilized for tuning the controller parameters and monitoring the MPP.…”

Section: Related Workmentioning

confidence: 99%

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

2021

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Introduction of photovoltaic (PV) systems in grid causes some complex power quality problems such as harmonics, voltage fluctuation, and load imbalance that can affect the grid coordinated PV system performance. Therefore, herein, a novel normalized reasoning‐based fuzzy neural adaptive (NRFNA) control technique is proposed for the double‐stage grid coupled solar PV system. In addition, the utmost power in a double‐stage PV system is tracked at dissimilar environmental states by the proposed novel hybrid krill herd spider monkey (HKHSM)‐based maximum power point tracking (MPPT) algorithm. The current computation control method preserves the grid current in unity power factor as sinusoidal for the system at point common coupling (PCC). The simulation of this proposed work is done on MATLAB/Simulink. Subsequently, the performance of the developed replica results is validated under dissimilar conditions of power quality. Furthermore, the proposed HKHSM‐based MPPT along with a normalized reasoning herd spider monkey (NRHSM) control technique in a grid coordinated solar PV system has achieved 1.70% load current harmonics and 3.7% grid current harmonics. Consequently, the simulation outcomes are compared with the various conventional methods for proving the significance of the proposed system.

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Section: Related Workmentioning

confidence: 99%

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

2021

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“…The elitist invasive-weed optimizer (EIWO) has been utilized for optimum design of FLC in PEMFC applications [30]. The hybrid modified shuffled-frog leaping optimization algorithm (MSFLA) with FLC has been presented in [31]. Another hybrid BAT algorithm with FLC has been introduced in [32] for grid tied systems.…”

Section: Introductionmentioning

confidence: 99%

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

et al. 2021

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Fuel cell (FC) represents one of the promising efficient solutions for future energy supply. Improving performance and integration methods of FCs via maximum power point tracking (MPPT) and high boosting factor inverters are key requirements for research in renewable energy fields. Recently, hybrid FC-battery structures have shown wide applications in several areas. Accordingly, marine predators algorithm (MPA) is proposed in this article for optimizing the design of reduced sensor fuzzy-logic based MPPT scheme. The proposed scheme inherits the following benefits: reduced sensors and hence reduced costs, more flexibility and smooth performance due to fuzzy-logic based MPPT, and optimized design method of fuzzy-logic based MPPT through MPA method. Moreover, a high boosting ratio inverter is introduced in this article based on using the switched capacitor multilevel inverter (SCMLI). The proposed system achieves self capacitor voltage control without complex control or extra sensors. The proposed hybrid FC-battery system has been validated at various operating points. In addition, comprehensive comparisons with existing schemes in the literature are provided in the paper. The superiority of the proposed scheme has been verified with robust, fast and accurate tracking, reduced cost, flexible, simple, and smooth output waveforms. The proposed method achieves the lowest output power fluctuations with fast tracking speed compared to the studied classical methods.INDEX TERMS Battery, fuel cells (FCs), fuzzy logic control, marine predators algorithm, maximum power point tracking, stand alone applications.

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“…38 Additionally, hybrid FLC systems have been introduced in literature for fuel cell applications. 39,40 In Reference 41, a fractional order FLC method has been presented for TEG systems. The presented method employs the benefits of fractional order systems to achieve fast tracking of the MPP.…”

Section: Introductionmentioning

confidence: 99%

A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

Aly

Rezk

2021

Int J Energy Res

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Analysis and enhancement of PV efficiency with hybrid MSFLA–FLC MPPT method under different environmental conditions

Cited by 64 publications

References 29 publications

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

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