Wind cube optimum design for wind turbine using meta-heuristic algorithms

Hassan, Amir Y.; Soliman, A.M.; Ahmed, Doaa Akl; Saleh, Saber M.

doi:10.1016/j.aej.2021.09.059

Cited by 12 publications

(4 citation statements)

References 15 publications

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“…is the wind turbine's power rating. Additionally, the wind velocity pro le should be enhanced to consider hub height [34]:…”

Section: Wt Modelingmentioning

confidence: 99%

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The most-economic design of a hybrid micro-grid considering different load patterns

AbdElrazek,

Ibrahim,

Saleh

et al. 2023

Preprint

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In this paper, the effect of the load pattern on the optimal configuration of a stand-alone PV-Wind hybrid system based on minimum cost is studied. The proposed hybrid system consists mainly of PV modules and wind turbines (WT) in addition to diesel generators (DG) and batteries (BT) for supplying both peak demand and generation shortages. Three different load patterns with the same consumption of energy are proposed to find the most economical design of a stand-alone hybrid system through two optimization techniques: cuckoo search (CS) and white shark (WS). The proposed configurations of stand-alone hybrid systems are as follows: PV/WT, PV/WT/BT, and PV/WT/BT/DG. On the other hand, the load patterns proposed are as follows; daily load, all-day distributed load, and nightly load. Results show that the optimal configuration and the cost are dependent of the load pattern. Also the results show that both of WC and CS have the same steady-state solutions, the differences appear in the number of iterations needed to reach the steady-state.

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“…is the wind turbine's power rating. Additionally, the wind velocity pro le should be enhanced to consider hub height [34]:…”

Section: Wt Modelingmentioning

confidence: 99%

“…coordinates. Figure 5 Indicate the mean wind velocity pro le across a year in Hurghada City in Egypt from Weather Station with ID: ISAFAGA2 and Name: POWER ZONE -Safaga in location 26° 39' 36" N and 33° 56' 24" E. [34,39].…”

Section: Case Studymentioning

confidence: 99%

The most-economic design of a hybrid micro-grid considering different load patterns

AbdElrazek,

Ibrahim,

Saleh

et al. 2023

Preprint

Self Cite

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“…Notably, efforts such as those by Ala et al [40] have examined and ranked off-the-shelf algorithms based on their ability to generate highly accurate solutions for optimization problems in the field of wind energy. The typical objective functions employed with metaheuristic algorithms to address minimization optimization problems include the root mean square error (RMSE) [41][42][43][44] or the mean square error (MSE) [45,46]. In some instances, researchers relied on maximizing the objective function.…”

Section: Introductionmentioning

confidence: 99%

Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model

Younis,

Belabbes,

Cotfas

et al. 2024

Forecasting

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This study introduces a novel adjustment to the firefly algorithm (FA) through the integration of rare instances of cannibalism among fireflies, culminating in the development of the honeybee mating-based firefly algorithm (HBMFA). The IEEE Congress on Evolutionary Computation (CEC) 2005 benchmark functions served as a rigorous testing ground to evaluate the efficacy of the new algorithm in diverse optimization scenarios. Moreover, thorough statistical analyses, including two-sample t-tests and fitness function evaluation analysis, the algorithm’s optimization capabilities were robustly validated. Additionally, the coefficient of determination, used as an objective function, was utilized with real-world wind speed data from the SR-25 station in Brazil to assess the algorithm’s applicability in modeling wind speed parameters. Notably, HBMFA achieved superior solution accuracy, with enhancements averaging 0.025% compared to conventional FA, despite a moderate increase in execution time of approximately 18.74%. Furthermore, this dominance persisted when the algorithm’s performance was compared with other common optimization algorithms. However, some limitations exist, including the longer execution time of HBMFA, raising concerns about its practical applicability in scenarios where computational efficiency is critical. Additionally, while the new algorithm demonstrates improvements in fitness values, establishing the statistical significance of these differences compared to FA is not consistently achieved, which warrants further investigation. Nevertheless, the added value of this work lies in advancing the state-of-the-art in optimization algorithms, particularly in enhancing solution accuracy for critical engineering applications.

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“…The more accurate the model, the more reliable and accurate the results [12]. Various researchers use optimization approaches to solve many problems by estimating parameters [13]- [16]. Many techniques are used to improve the estimation of the transformer's parameters by employing various optimization strategies for estimating the parameters from search space, constraints, and objective functions [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

Estimation of the transformer parameters from nameplate data using turbulent flow of water optimization technique

Hassan

Said

Saleh

2022

IJEECS

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The mismatch between the transformer and its model leads to deviation of the results during the study of the different abnormal phenomena. This paper presents an optimization technique using transformer nameplate data to minimize the difference in the estimation of the parameters between the model and the actual transformer data. The turbulent flow of water through a narrow path (TFWO) in a circular form technique is used for the optimization of the transformer parameters. The optimization algorithms are used in extracting the parameters of the different rating of transformers, this technique needs an objective function for performing the optimization process. Minimizing the sum of square error (SSE) is the objective function of the optimizer technique. The SSE function includes the summation of the square error for the primary current and secondary current and voltage referring to the primary. The proposed optimization transformer parameters evaluation based on the nameplate data is accurate and fulfilled compared with the other methods.

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Wind cube optimum design for wind turbine using meta-heuristic algorithms

Cited by 12 publications

References 15 publications

The most-economic design of a hybrid micro-grid considering different load patterns

The most-economic design of a hybrid micro-grid considering different load patterns

Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model

Estimation of the transformer parameters from nameplate data using turbulent flow of water optimization technique

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