Cuckoo Search Optimization based MPPT for Integrated DFIG-Wind Energy System

Goud, B. Srikanth; Varma, P. Srinivasa; Rao, B. Loveswara; Reddy, M. Sai Krishna; Pandian, A.; Reddy, Ch. Rami

doi:10.1109/dasa51403.2020.9317072

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…There is a large body of work that provides strong evidence for the effectiveness of FSSO [77][78][79] and CS [80][81][82] in many areas of optimization, such as green energy systems. Research has shown that they are very adaptable and ( 25) www.nature.com/scientificreports/ Observable and verifiable data All signs point to FSSO and CS being suitable for MPPT in PEM fuel cells, according to preliminary testing and simulations 85 .…”

Section: Prior Studiesmentioning

confidence: 99%

Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments

Bouguerra,

Badoud,

Mekhilef

et al. 2024

Sci Rep

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This study looks into how to make proton exchange membrane (PEM) fuel cells work more efficiently in environments that change over time using new Maximum Power Point Tracking (MPPT) methods. We evaluate the efficacy of Flying Squirrel Search Optimization (FSSO) and Cuckoo Search (CS) algorithms in adapting to varying conditions, including fluctuations in pressure and temperature. Through meticulous simulations and analyses, the study explores the collaborative integration of these techniques with boost converters to enhance reliability and productivity. It was found that FSSO consistently works better than CS, achieving an average increase of 12.5% in power extraction from PEM fuel cells in a variety of operational situations. Additionally, FSSO exhibits superior adaptability and convergence speed, achieving the maximum power point (MPP) 25% faster than CS. These findings underscore the substantial potential of FSSO as a robust and efficient MPPT method for optimizing PEM fuel cell systems. The study contributes quantitative insights into advancing green energy solutions and suggests avenues for future exploration of hybrid optimization methods.

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Section: Prior Studiesmentioning

confidence: 99%

Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments

Bouguerra,

Badoud,

Mekhilef

et al. 2024

Sci Rep

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“…GA has been used to optimize the relay operating time in DFIG operated wind farms for improving protection 30 . Apart from these, recent various optimization techniques like Cuckoo Search (CS), 31 artificial bee colony (ABC), 32 Grey Wolf optimization (GWO), 33 and ant colony optimization (ACO) 34 have been explored for augmenting controller performance in grid penetrated DFIG systems. This paper aims to present the DFSOGI control algorithm with adaptive DC link control for the control of DFIG wind energy system using optimization technique.…”

Section: Introductionmentioning

confidence: 99%

An improved DC link voltage control with double frequency second‐order generalized integrator for enhanced power quality of grid‐interfaced DFIG system

Hamid

Hussain

Iqbal

et al. 2023

Circuit Theory & Apps

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SummaryIn this study, an optimal double frequency second order generalized integrator (DFSOGI) based grid side converter control (GSC) is used for monitoring active power injection from the DFIG wind energy system as well as improving power quality at utility grid terminals. The reference DC voltage is adapted to variations in voltage at the point of common coupling (PCC) that reduces the burden on the converter switches and switching losses. In addition, an intelligent control technique based on white shark optimization algorithm (WSO) is endorsed, where an objective problem is formulated to obtain the desired parameters of the controller. Finally, time‐domain simulations are conducted in MATLAB environment that demonstrate the validity of the implemented control over various operating conditions. To affirm the adequacy of the proposed control strategy, the response of DC link voltage obtained through optimal tuning is compared to the conventional one. The proposed WSO tuning outperforms traditional manual tuning pertaining to enhancing the overall performance of the DFIG system. The designed WSO gains exhibit better steady‐state and transient performance including settling time, steady‐state error, and peak of over amplitude and harmonic distortion. The grid currents' total harmonic distortion (THD) is within 5% that meets specified IEEE‐519 standard.

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“…Moreover, the ITAE error can be used to reduce small errors that remain for long time. This study work [15,16] suggests that ITAE mistakes be minimized in order to prevent power system problems caused by tiny frequency and voltage changes that persist over an extended period of time.…”

Section: ░ 1 Introductionmentioning

confidence: 99%

Black Widow Optimization for Power System Load Frequency Control: A Comparative Study

Jasmine Gnanamalar,

Balachander,

Thiyagarajan

et al. 2023

IJEER

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This research paper mainly engrossed on developing a suitable novel tuning methodology named Black Widow Optimization (BWO) Algorithm for power system optimization problems. Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR), two of the most important control systems in the power system arena, are employed as test systems to assess the efficiency of the suggested BWO approach. Various analyses, such as transient analysis, are employed to evaluate the efficiency of the suggested BWO approach in LFC and AVR systems. robustness analysis and convergence analysis. The significant performance measures of test system such as output power of each generating unit, maximum peak, settling time, steady state error, rise time and voltage/frequency deviations of the frequency and voltage responses are considered for the comparison purposes. The comparative analysis clearly demonstrates that the proposed novel tuning methodology provides better transient performances subjected to Step Load Perturbations (SLP), Variable Load Perturbations (VLP), and robustness performances under a wide range of load and parameter changes ranging from -50% to +50%. The convergence analysis of BWO algorithm also performed in LFC and AVR test systems and results better convergence characteristics with minimal convergence time as well as least fitness value is obtained with the BWO algorithm.

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Cuckoo Search Optimization based MPPT for Integrated DFIG-Wind Energy System

Cited by 8 publications

References 18 publications

Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments

Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments

An improved DC link voltage control with double frequency second‐order generalized integrator for enhanced power quality of grid‐interfaced DFIG system

Black Widow Optimization for Power System Load Frequency Control: A Comparative Study

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