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

Cleaner Engineering and Technology, Journal Year: 2022, Volume and Issue: 9, P. 100533 - 100533

Published: July 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.

Language: Английский

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

Energy Reports, Journal Year: 2022, Volume and Issue: 8, P. 13235 - 13252

Published: Oct. 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

Language: 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, Journal Year: 2022, Volume and Issue: 53, P. 102388 - 102388

Published: June 13, 2022

Language: 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, Journal Year: 2022, Volume and Issue: 269, P. 116099 - 116099

Published: Aug. 27, 2022

Language: Английский

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Marine predators algorithm: A comprehensive review

Machine Learning with Applications, Journal Year: 2023, Volume and Issue: 12, P. 100471 - 100471

Published: June 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.

Language: Английский

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

Processes, Journal Year: 2023, Volume and Issue: 11(8), P. 2493 - 2493

Published: Aug. 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

Language: Английский

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

Engineering Fracture Mechanics, Journal Year: 2024, Volume and Issue: 298, P. 109951 - 109951

Published: Feb. 14, 2024

Language: Английский

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Maximum energy harvesting of centralized thermoelectric power generation systems with non-uniform temperature distribution based on novel equilibrium optimizer

Energy Conversion and Management, Journal Year: 2021, Volume and Issue: 246, P. 114694 - 114694

Published: Sept. 2, 2021

Language: Английский

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

Optik, Journal Year: 2021, Volume and Issue: 247, P. 167973 - 167973

Published: Sept. 17, 2021

Language: Английский

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A novel population based maximum point tracking algorithm to overcome partial shading issues in solar photovoltaic technology

Energy Conversion and Management, Journal Year: 2021, Volume and Issue: 244, P. 114470 - 114470

Published: July 15, 2021

Language: Английский

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