Investigation of wake interactions effect on wind farm efficiency

Charhouni, Naima; Sallaou, Mohammed; Mansouri, Khalifa

doi:10.1109/icoa.2018.8370515

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…To produce electricity, each turbine pulls out from the wind kinetic energy. When the wake effect occurs [28], the wind speed decreases each time the wind passes through a turbine. It affects the environment in two ways: It results in a reduction in wind speed [14], which ultimately dwindles the turbine's output power and leads to a decrease in life span due to the increase in turbulence intensity.…”

Section: Methods 21 Mathematical Modelling Of the Wake Effectmentioning

confidence: 99%

“…Today, myriads of instruments and devices that facilitate human life are powered by electricity [7]. As a corollary of the burgeoning electricity demand, wind energy has been capitalized on in several wind farms' installations worldwide [8] thanks to the propitious prospects it carries in the field of energy production [9]. Generally, Wind farms are erected in places where the wind level is prolific to sustain continuous electricity production [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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Particle swarm optimization for the optimal layout of wind turbines inside a wind farm

Jaadi

Haidi

2023

IJ-AI

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The wind turbine’s output power is heavily affected by the arrangement of the wind turbine location. Wind farm planning endeavors to firstly maximize the farm’s output energy. Secondly, it seeks to minimize the effects of the wake phenomenon. This paper attempts to find the best possible location of a wind turbine inside a square farm using the particle swarm optimization (PSO) method whilst focusing on the three salient cases: the steadiness of wind direction and speed, the variability of the flow direction with a steady speed, and the variability of direction for three discrete wind speeds. The proposed algorithm generated results that will be contrasted to previous studies on the same topic with different metaheuristic methods such as a genetic algorithm. When compared to the optimum findings from prior research, the suggested approach has a reduced cost. It is developed by language C through MATLAB environment considering a square with the dimensions 2×2 kilometers.

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Section: Methods 21 Mathematical Modelling Of the Wake Effectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization for the optimal layout of wind turbines inside a wind farm

Jaadi

Haidi

2023

IJ-AI

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“…In order to save land resources and reduce investment costs, tens or even hundreds of wind turbines (WTs) are usually built into a wind farm (WF) in a certain arrangement. When the incoming wind speed passes through the upstream WTs, the wind speed for the downstream WTs decreases while the turbulence intensity increases, which is usually called the wake effect [2]. In general, the wake effect can not only reduce the power generation of the downstream WTs, but also increase the fatigue load [3] with the increasing turbulence intensity.…”

Section: Introductionmentioning

confidence: 99%

Decomposition-Based Multi-Classifier-Assisted Evolutionary Algorithm for Bi-Objective Optimal Wind Farm Energy Capture

et al. 2023

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With the wake effect between different wind turbines, a wind farm generally aims to achieve the maximum energy capture by implementing the optimal pitch angle and blade tip speed ratio under different wind speeds. During this process, the balance of fatigue load distribution is easily neglected because it is difficult to be considered, and, thus, a high maintenance cost results. Herein, a novel bi-objective optimal wind farm energy capture (OWFEC) is constructed via simultaneously taking the maximum power output and the balance of fatigue load distribution into account. To rapidly acquire the high-quality Pareto optimal solutions, the decomposition-based multi-classifier-assisted evolutionary algorithm is designed for the presented bi-objective OWFEC. In order to evaluate the effectiveness and performance of the proposed technique, the simulations are carried out with three different scales of wind farms, while five familiar Pareto-based meta-heuristic algorithms are introduced for performance comparison.

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Zero-Speed Start-Up of a 3 MW DFIG Wind Turbine Model: Mechanical and Electrical Hardware-In-the-Loop Co-Simulation

Liasi,

Hadidi,

Bibo

et al. 2023

2023 8th IEEE Workshop on the Electronic Grid (eGRID)

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Investigation of wake interactions effect on wind farm efficiency

Cited by 5 publications

References 13 publications

Particle swarm optimization for the optimal layout of wind turbines inside a wind farm

Particle swarm optimization for the optimal layout of wind turbines inside a wind farm

Decomposition-Based Multi-Classifier-Assisted Evolutionary Algorithm for Bi-Objective Optimal Wind Farm Energy Capture

Zero-Speed Start-Up of a 3 MW DFIG Wind Turbine Model: Mechanical and Electrical Hardware-In-the-Loop Co-Simulation

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