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Journals / Turkish Journal of Engineering / 2026 / Volume: 5 Issue: 2

Wind power plant layout optimization using particle swarm optimization

İbrahim Çelik(KAHRAMANMARAŞ İSTİKLAL ÜNİVERSİTESİ)0000-0001-5923-554X
Ceyhun Yıldız(KAHRAMANMARAŞ İSTİKLAL ÜNİVERSİTESİ)
Mustafa Şekkeli(Kahramanmaras Sütcü Imam University)
Pages
—
Publication Date
2021-04-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, it was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The use of wind energy has rapidly increased in recent years.
📊
Key Findings & Data:In parallel with this rapid increase, Wind Power Plant (WPP) installation has become an important research topic.
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Conclusion & Impact:In addition, it was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Micro-siting · Wind power plant · Particle swarm optimization

Abstract

The use of wind energy has rapidly increased in recent years. In parallel with this rapid increase, Wind Power Plant (WPP) installation has become an important research topic. The selection of wind turbine location in WPP installation effects turbine output power. If the appropriate turbine position is not selected, the total generation of WPP is decreased. The purpose of this study was to determine the locations that wind turbines can achieve the highest energy generation. In this study, an optimization model was proposed to achieve the best WPP layout. In the first stage, field data and Wind Atlas Analysis and Application Program (WAsP) software were used to obtain wind speed distributions in the region where the WPP will be installed. . These distributions were used in the developed optimization model in MATLAB. The actual power curve of a wind turbine was used in the model to calculate energy generation. In the second stage, the locations of the wind turbine were determined by particle swarm optimization (PSO) method. In the final stage, the results of developed MATLAB model were compared with WASP to check accuracy. The difference between MATLAB model and WAsP software was found as 0.04%. This result showed that this model performed a calculation with acceptable accuracy. In addition, it was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.

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Cite This Article

Çelik, İ., Yıldız, C., Şekkeli, M. (2021). Wind power plant layout optimization using particle swarm optimization. Turkish Journal of Engineering, Volume: 5 Issue: 2. https://doi.org/10.31127/tuje.698856

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