OPTIMIZATION STUDY OF A NOVEL HYBRID LATTICE TOWER BASED ON PARTICLE SWARM ALGORITHM

Sun Xianghong; Liao Jipeng; Shen Yuemei; Zhao Zikang; Gan Zhaoyuan

doi:10.19912/j.0254-0096.tynxb.2025-0028

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 772-782. DOI: 10.19912/j.0254-0096.tynxb.2025-0028

OPTIMIZATION STUDY OF A NOVEL HYBRID LATTICE TOWER BASED ON PARTICLE SWARM ALGORITHM

Sun Xianghong, Liao Jipeng, Shen Yuemei, Zhao Zikang, Gan Zhaoyuan

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Abstract

To address the challenges of complex construction process, difficult transpot ation and install atim, and excessive steel usage that arise with the increasing height of traditional monopole wind turbine towers, this study puts forward a novel hybrid lattice tower design. The proposed structure integrates a monopole steel tube at the top with a three-legged lattice structure at the bottom, with the goal of enhancing structural performance and material efficiency. Firstly, a force-based model was developed using the spatial matrix displacement method to calculate the member stresses of the tower. Subsequently, a multi-objective optimization model was established to maximize stress uniformity across cross-sections. The tower's diameter and thickness were selected as key design variables, and six constraints were considered. To optimize the cross-sectional dimensions of the lower tower section, a computational optimization program was developed by integrating the spatial matrix displacement method with a particle swarm optimization algorithm. The results were validated using finite element models at three angles （α=60°、α=45°、α=30°） in ABAQUS, which facilitated a comparative analysis of the structural performance before and after optimization. The results demonstrate that the proposed force-based model accurately predicts the member stresses, and the structure is effectively optimized. Specifically, whenα=45°, the optimization effect is optimal and the convergence is fastest. The optimized hybrid lattice tower achieves substantial steel savings, with a reduction of approximately 48.8%. Additionally, the cross-sectional efficiency is enhanced by 70.3%, and the stress differences among the column members are diminished by approximately 70.2%. These improvements confirm the feasibility of the proposed optimization model. The methods and results presented in this study offer valuable insights for the design and analysis of similar hybrid lattice towers.

Key words

wind turbines tower / particle swarm optimization / finite element analysis / spatial matrix displacement method / force-based model

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Sun Xianghong, Liao Jipeng, Shen Yuemei, Zhao Zikang, Gan Zhaoyuan. OPTIMIZATION STUDY OF A NOVEL HYBRID LATTICE TOWER BASED ON PARTICLE SWARM ALGORITHM[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 772-782 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0028

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