A new MPPT method based on a modified Fibonacci search algorithm for wind energy conversion systems

Yazıcı, İrfan; Yaylaci, Ersagun Kürşat; Cevher, Barış; Yalçın, Faruk; Yüzkollar, Can

doi:10.1063/5.0035134

Cited by 10 publications

(4 citation statements)

References 36 publications

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“…Where j denotes a variable with a beginning value (j=2) in the FSA. Here Ω (𝑗) and 𝑃 (Ω) (𝑗) represent shaft speed and mechanical power, respectively [22]. Then, by an iteration process, the initial box of the range must be reduced to a sufficiently small box region, including the peak point of power solution 𝑃(Ω 𝑗 ) for the interval in which the maximum (power versus shaft speed) lies.…”

Section: Improved Fibonacci Search Algorithmmentioning

confidence: 99%

Improved Fibonacci Search Algorithm for Optimal Power Tracking in DFIG-Based Wind Turbine System

2024

IJIES

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The paper presents an algorithm for harvesting optimal power points (OPP) utilizing the direct power control (DPC) technique of the dual-fed induction generator (DFIG) wind turbine. The conventional Fibonacci search algorithm (FSA) technique cannot find the exact global peak (GP) strategy and may fail. It proposes a new modified Fibonacci search algorithm (MFSA) to extract (OPP) with variable-speed wind energy turbines (VSWET), which is very important for many people and companies. Among the other different algorithms, the MFSA is more efficient and has a simple strategy to track the optimal power point that depends on calculating the effective speed of the Ω 𝑚 in an interval [a, b]. The research paper suggests modifying the Fibonacci-based search on the rotor side conversion (RSC) of a 7.5 KW DFIG in the WECS wind energy conversion strategy. The simulation uses the built-in MATLAB/SIMULINK (R2023a) software. It demonstrates the ease of implementation, lower total harmonic distortion THD and efficiency since it uses a step size that is not fixed based on the Fibonacci sequence.

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Section: Improved Fibonacci Search Algorithmmentioning

confidence: 99%

Improved Fibonacci Search Algorithm for Optimal Power Tracking in DFIG-Based Wind Turbine System

2024

IJIES

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“… Abdel-Basset et al, 2023 , Abualigah et al, 2021 , Agushaka et al, 2022 , Ahmadianfar et al, 2022 , Ahmadianfar et al, 2021 , Awad et al, 2016 , Dai and Wei, 2021 , Ezugwu et al, 2022 , Heidari et al, 2019 , Holland, 1992 , Khalilpourazari and Khalilpourazary, 2019 , Cheng and Prayogo, 2014 , Mirjalili and Lewis, 2016b , Nama, 2022a , Nama and Saha, 2018 , Oyelade et al, 2022 , Rao, 2016 , Sahoo et al, 2022g , Sapre and Mini, 2021 , Sharma et al, 2021 , Su et al, 2023 , Wang et al, 2017 , Yazıcı et al, 2021 .…”

Section: Uncited Referencesmentioning

confidence: 99%

Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

Sahoo¹,

Houssein²,

Premkumar³

et al. 2023

Expert Systems with Applications

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“…The flowcharts of the LA battery and bulk MPPT charging are given in Fig. 4 Perturb and observe (PO) method, which is a search technique used to find a maximum point, is widely used in renewable energy systems Yazıcı, Yaylacı, Cevher, et al, 2021). However, the wrong decision rule, selection of the optimum step size, etc., are the drawbacks of this method.…”

Section: Batterymentioning

confidence: 99%

A Solar Charger for Lead-Acid Batteries in an Autonomous PV System

Yaylaci¹

2021

European Journal of Science and Technology

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Photovoltaic energy is an intermittent energy source because the sun is gone away from evening to morning. Therefore, the batteries have a vital role in getting continuous energy sources for the autonomous system. The battery highly affects the cost of the system. Also, the life span of the batteries can not be sufficient for the consumers. At this point, the charging algorithm is so important because it protects the battery, the battery's life recycling, and the back cost time of the whole system. In this paper, a battery charger is designed to get an efficient autonomous photovoltaic system. The photovoltaic system is designed as two parallel panels, a DC-DC buck converter, and two series batteries. The lead-acid batteries are used because of the lesser cost. The lead-acid battery has three charge regions such as bulk, absorption, and float regions. The bulk region is examined for different irradiation levels in this study because the bulk region is more critical for the system's efficiency. The charge algorithm changes the duty cycle of the buck converter considering the available irradiation level. The photovoltaic charger should satisfy both the maximum power and proper charge operation for the related battery/batteries. The conventional perturb and observe algorithm is modified to eliminate drawbacks such as oscillation around maximum power and the wrong decision law when the irradiation changes. The modified perturb and observe algorithm is used as a photovoltaic charger, and the simulation results present the superiorities of the proposed method.

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A new MPPT method based on a modified Fibonacci search algorithm for wind energy conversion systems

Cited by 10 publications

References 36 publications

Improved Fibonacci Search Algorithm for Optimal Power Tracking in DFIG-Based Wind Turbine System

Improved Fibonacci Search Algorithm for Optimal Power Tracking in DFIG-Based Wind Turbine System

Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation

A Solar Charger for Lead-Acid Batteries in an Autonomous PV System

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