A novel MPPT technique based on Henry gas solubility optimization

Mirza, Adeel Feroz; Mansoor, Majad; Ling, Qiang

doi:10.1016/j.enconman.2020.113409

Cited by 54 publications

(26 citation statements)

References 44 publications

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“…where M maxPV is the maximum PV power movement, movement of inertia weight influenced in the rate of [0,1], M old PV is the last movement of maximum PV power, and the density of local swarm is calculated as β i . Moreover, here, the effect of individual PV power movement is articulated in Equation (10).…”

Section: Proposed Hkhsm-based Mppt Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The most frequent characteristics of this algorithm are the beginning of minute transforms into the present working position, and also, the main objective of the MPPT controller is to inflict the junction of the greatest energy in the PV systems. [10] The smart grid in the PV is used to condense the functional cost and pollution due to diminishing the dependency of fossil fuels. Typically, smart grids have improved the automation, connectivity, and communication of the power network of different components with the use of computer technology.…”

Section: Introductionmentioning

confidence: 99%

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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: Proposed Hkhsm-based Mppt Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2021

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“…To represent the knowledge of the whole class, a normal distribution function was used which is shown in Equation (5).…”

Section: Ability Groupingmentioning

confidence: 99%

“…However, ever-altering operating conditions, temperature, irradiance, and sheltering by clouds, etc. cause nonlinearity and randomness in the behavior of the PV system, causing difficulties and challenges for MPPT controllers [5]. The MPPT controllers are classified into several categories which include classical and modern intelligent controllers.…”

Section: Introductionmentioning

confidence: 99%

Group Teaching Optimization Algorithm Based MPPT Control of PV Systems under Partial Shading and Complex Partial Shading

et al. 2020

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The most cost-effective electrical energy is produced by photovoltaic (PV) systems, and with the smallest carbon footprint, making it a sustainable renewable energy. They provide an excellent alternative to the existing fossil fuel-based energy systems, while providing 4% of global electricity demand. PV system efficiency is significantly reduced by the intrinsic non-linear model, maximum power point (MPP), and partial shading (PS) effects. These two problems cause major power loss. To devise the maximum power point tracking (MPPT) control of the PV system, a novel group teaching optimization algorithm (GTOA) based controller is presented, which effectively deals with the PS and complex partial shading (CPS) conditions. Four case studies were employed that included fast-changing irradiance, PS, and CPS to test the robustness of the proposed MPPT technique. The performance of the GTOA was compared with the latest bio-inspired techniques, i.e., dragon fly optimization (DFO), cuckoo search (CS), particle swarm optimization (PSO), particle swarm optimization gravitational search (PSOGS), and conventional perturb and observe (P&O). The GTOA tracked global MPP with the highest 99.9% efficiency, while maintaining the magnitude of the oscillation <0.5 W at global maxima (GM). Moreover, 13–35% faster tracking times, and 54% settling times were achieved, compared to existing techniques. Statistical analysis was carried out to validate the robustness and effectiveness of the GTOA. Comprehensive analytical and statistical analysis solidified the superior performance of the proposed GTOA based MPPT technique.

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Global Maximum Power Point Tracking Using Genetic Algorithm Combined with PSO Tuned PID Controller

Bouakkaz

Boukadoum

Boudebbouz

et al. 2021

Digital Technologies and Applications

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A novel MPPT technique based on Henry gas solubility optimization

Cited by 54 publications

References 44 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

Group Teaching Optimization Algorithm Based MPPT Control of PV Systems under Partial Shading and Complex Partial Shading

Global Maximum Power Point Tracking Using Genetic Algorithm Combined with PSO Tuned PID Controller

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