State Grid LeShan Power Supply Company, Sichuan, Leshan, China.
Shantou University, Sichuan, Chendu, China.
PLoS One. 2024 May 17;19(5):e0300961. doi: 10.1371/journal.pone.0300961. eCollection 2024.
The stable and site-specific operation of transmission lines is a crucial safeguard for grid functionality. This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. By utilizing the BBO algorithm to optimize the truss structure's design variables, the method ensures the structure's economic and practical viability while enhancing its performance. The optimization process is validated through finite element analysis, confirming the optimized structure's compliance with strength, stiffness, and stability requirements. The results demonstrate that the integrated design of size, shape, and topology optimization, as opposed to individual optimizations of size or shape and topology, yields the lightest structure mass and a maximum stress of 151.4 MPa under construction conditions. These findings also satisfy the criteria for strength, stiffness, and stability, verifying the method's feasibility, effectiveness, and practicality. This approach surpasses traditional optimization methods, offering a more effective solution for complex structural optimization challenges, thereby enhancing the sustainable utilization of structures.
输电线路的稳定和定点运行是电网功能的重要保障。本研究提出了一种基于生物地理学优化（BBO）算法的输电线路交叉构架结构的综合优化设计方法，该方法集成了尺寸、形状和拓扑优化。通过利用 BBO 算法优化桁架结构的设计变量，该方法确保了结构的经济实用性，同时提高了其性能。通过有限元分析验证了优化过程，确认了优化后的结构符合强度、刚度和稳定性要求。结果表明，与尺寸或形状和拓扑的单独优化相比，尺寸、形状和拓扑的综合优化设计可获得最轻的结构质量和最大 151.4MPa 的施工条件下的最大应力。这些结果还满足强度、刚度和稳定性的标准，验证了该方法的可行性、有效性和实用性。该方法优于传统的优化方法，为复杂结构的优化挑战提供了更有效的解决方案，从而提高了结构的可持续利用性。
