Enhanced energy output from a PV system under partial shaded conditions through grey wolf optimizer

Cleaner Engineering and Technology, Год журнала: 2022, Номер 9, С. 100533 - 100533

Опубликована: Июль 14, 2022

Due to its several powerful characteristics, the Grey Wolf Optimization (GWO) algorithm has recently become widely used in numerous optimization problems. In photovoltaic (PV) systems, power-voltage (P–V) curves present multiple maxima case of partial shadow or modules mismatch which can be viewed as an problem. this paper, a GWO-based maximum power tracking (MPPT) for PV systems operating under shading conditions (PSCs) is proposed. With direct control method, proposed MPPT allows successfully catching global point (GMPP) array uniform and non-uniform solar irradiation. To evaluate effectiveness scheme, co-simulation combining Matlab/Simulink™ Cadence/Pspice™ software environments carried out tested various static dynamic conditions. Furthermore, performance compared with that particle swarm (PSO) classical perturb observe (P&O) based methods transient PSCs also inhomogeneous real Algerian sky. The simulation results have demonstrated satisfactory performances approach terms efficiency speed over other methods.

Язык: Английский

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Analysis of photovoltaic array maximum power point tracking under uniform environment and partial shading condition: A review

Energy Reports, Год журнала: 2022, Номер 8, С. 13235 - 13252

Опубликована: Окт. 17, 2022

With the expansion of scale application photovoltaic (PV) power generation, PV maximum point tracking (MPPT) technology has been transformed from uniform environmental conditions (UEC) to partial shading (PSC), but there are certain limitations in existing technologies under PSC. At present, a large number several different MPPT algorithms have proposed. In research on UEC, based output characteristics cells is used and speed reached 20 times, another improvement, cell model used, accuracy 99.4428%. process transformation, lack sufficient comparative analysis systematic review these methods. This paper focuses problem Voltage–Power (U–P) single-peak curve UEC U–P​ multi-peak discuss four key issues development research: (1) Under performance model; (2) The failure phenomenon when traditional applied PSC; (3) PSC, methods swarm intelligence optimization algorithm (SIOA); (4) bottlenecks faced by SIOA applications PSC solutions. Through comparison presented this study, researchers can comprehensively understand important changes brought technology. could lead exploration into relevant conclusions will provide directions for future field

Язык: Английский

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Green energy extraction for sustainable development: A novel MPPT technique for hybrid PV-TEG system

Sustainable Energy Technologies and Assessments, Год журнала: 2022, Номер 53, С. 102388 - 102388

Опубликована: Июнь 13, 2022

Язык: Английский

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A critical review on advanced reconfigured models and metaheuristics-based MPPT to address complex shadings of solar array

Energy Conversion and Management, Год журнала: 2022, Номер 269, С. 116099 - 116099

Опубликована: Авг. 27, 2022

Язык: Английский

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Marine predators algorithm: A comprehensive review

Machine Learning with Applications, Год журнала: 2023, Номер 12, С. 100471 - 100471

Опубликована: Июнь 1, 2023

Marine predators algorithm (MPA) is a recently proposed metaheuristic that mimics the marine behavior when attacking their preys. Recently, MPA has been broadly employed to tackle numerous optimization problems in various research areas and confirmed its supremacy over large number of algorithms regard convergence speed accuracy thanks simplicity, flexible implementation few adjustable parameters requirements. A comprehensive review presented this paper along with variants such as binary, discrete, modifications, hybridizations, chaotic, quantum multi-objective versions. This also reviews applications electrical engineering, computer science, medicine, etc. Moreover, further directions for are suggested. The source code can be found at: http://www.alimirjalili.com/MPA.html.

Язык: Английский

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Investigation on crack propagation and reasonable wall thickness of supercritical CO2 pipeline

Engineering Fracture Mechanics, Год журнала: 2024, Номер 298, С. 109951 - 109951

Опубликована: Фев. 14, 2024

Язык: Английский

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A Review of Traditional and Advanced MPPT Approaches for PV Systems Under Uniformly Insolation and Partially Shaded Conditions

Applied Sciences, Год журнала: 2025, Номер 15(3), С. 1031 - 1031

Опубликована: Янв. 21, 2025

Solar photovoltaic (PV) is a crucial renewable energy source that converts sunlight into electricity using silicon-based semiconductor materials. However, due to the non-linear characteristic behavior of PV module, module’s output power varies according solar radiation and ambient temperature. To address this challenge, maximum point tracking (MPPT) techniques are employed extract amount from modules. This paper offers comprehensive review widely used traditional advanced MPPT approaches in systems, along with current developments future directions field. Under uniform insolation, these methods compared based on their strengths weaknesses, including sensed parameters, circuitry, speed, implementation complexity, true MPPT, accuracy, cost. Additionally, algorithms evaluated terms performance reaching (MPP) under partial shading condition (PSC). Existing research clearly demonstrates exhibit superior efficiency comparison methods, although at cost increased design complexity higher expenses. By presenting detailed providing tables techniques, study aims provide valuable insights for researchers practitioners selecting appropriate applications.

Язык: Английский

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Orthogonal learning-based Gray Wolf Optimizer for identifying the uncertain parameters of various photovoltaic models

Optik, Год журнала: 2021, Номер 247, С. 167973 - 167973

Опубликована: Сен. 17, 2021

Язык: Английский

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Optimizing Photovoltaic Power Production in Partial Shading Conditions Using Dandelion Optimizer (DO)-Based MPPT Method

Processes, Год журнала: 2023, Номер 11(8), С. 2493 - 2493

Опубликована: Авг. 19, 2023

This research proposes the dandelion optimizer (DO), a bioinspired stochastic optimization technique, as solution for achieving maximum power point tracking (MPPT) in photovoltaic (PV) arrays under partial shading (PS) conditions. In such scenarios, overall output of PV array is adversely affected, with shaded cells generating less and consuming themselves, resulting reduced efficiency local hotspots. While bypass diodes can be employed to mitigate these effects by redirecting current around cells, they may cause multiple peaks, making MPPT challenging. Therefore, metaheuristic algorithms are suggested effectively optimize handle peaks. The DO algorithm draws inspiration from long-distance movement seed, which relies on force wind. By utilizing this approach, successfully capture (MPP) different where traditional often struggle. An essential contribution lies examination performance proposed through simulation real-time hardware-in-the-loop (HIL) results. Comparing state-of-the-art algorithms, including particle swarm (PSO) cuckoo search (CS), outperforms them terms efficiency, duration, tracked. Based HIL results, achieves highest average at 99.60%, surpassing CS 96.46% PSO 94.74%. These findings demonstrate effectiveness enhancing arrays, particularly challenging

Язык: Английский

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Honey badger optimization algorithm based maximum power point tracking for solar photovoltaic systems

Electric Power Systems Research, Год журнала: 2023, Номер 221, С. 109393 - 109393

Опубликована: Апрель 30, 2023

Язык: Английский

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