Design of transmission line towers by metaheuristic algorithms: A comparative study

被引:0
|
作者
Ogata, Marcos Wilson [1 ]
Gomes, Herbert Martins [2 ]
de Almeida, Felipe Schaedler [3 ]
机构
[1] Univ Fed Rio Grande do Sul, Post Grad Program Civil Engn, Ave Osvaldo Aranha,99,3 Andar, BR-90035190 Porto Alegre, RS, Brazil
[2] Univ Rio Grande do Sul, Dept Mech Engn, Program Mech Engn, Ave Sarmento Leite,425,2 Andar,Sala 202, BR-90150170 Porto Alegre, RS, Brazil
[3] Univ Fed Rio Grande do Sul, Dept Civil Engn, Ave Osvaldo Aranha,99,3 Andar, BR-90035190 Porto Alegre, RS, Brazil
关键词
Structural optimization; Transmission line towers; Generalized normal distribution optimization; DIFFERENTIAL EVOLUTION; TOPOLOGY OPTIMIZATION; SIZE OPTIMIZATION; SEARCH ALGORITHM; SHAPE;
D O I
10.1016/j.jcsr.2025.109426
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Latticed towers are essential components of high-voltage transmission lines. Saving resources in their construction is crucial for economic and environmental efficiency, but the safety of these structures under severe loads is of major importance for the reliability of the power distribution system. This work explores optimization techniques to improve the structural design of transmission line towers according to international code specifications and considering loads due to construction, wind, and cable rupture. A self-supporting tower with 52 m high and 1721 members is designed using the proposed methodology, showing that the computational tool obtains competitive solutions. Four metaheuristic algorithms are applied to solve the problem and compared in terms of efficiency and computational cost in extensive tests with more than 1080 independent optimizations with different parameter settings. The Generalized Normal Distribution Optimization greatly outperformed the other methods, raising as a good alternative for the optimization-aided structural design.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Comparative Study of Design Inputs of Overhead Transmission Line Towers
    Aluthwaththa, A. G. H. A. D.
    Baskaran, K.
    MORATUWA ENGINEERING RESEARCH CONFERENCE (MERCON 2021) / 7TH INTERNATIONAL MULTIDISCIPLINARY ENGINEERING RESEARCH CONFERENCE, 2021, : 397 - 402
  • [2] The design of 800 kV transmission line towers: A comparative study
    2005, Structural Engineering Research Centre, Taramani, Madras, India (32):
  • [3] A comparative study of metaheuristic algorithms for Dartboard Design
    Trichas, Ioannis
    Drosos, Christos
    Vlachos, Aristidis
    5TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS, IISA 2014, 2014, : 403 - +
  • [4] DESIGN AIDS FOR TRANSMISSION LINE TOWERS.
    Selvanathan, J.
    Irrigation and Power, 1988, 45 (02): : 90 - 111
  • [5] A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems
    Zeng Meng
    Gang Li
    Xuan Wang
    Sadiq M. Sait
    Ali Rıza Yıldız
    Archives of Computational Methods in Engineering, 2021, 28 : 1853 - 1869
  • [6] A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems
    Meng, Zeng
    Li, Gang
    Wang, Xuan
    Sait, Sadiq M.
    Yildiz, Ali Riza
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2021, 28 (03) : 1853 - 1869
  • [7] An intelligent design system for overhead transmission line towers
    Santana, S
    Pineda, LA
    Vadera, S
    4TH WORLD CONGRESS OF EXPERT SYSTEMS, VOL 1 AND 2: APPLICATION OF ADVANCED INFORMATION TECHNOLOGIES, 1998, : 270 - 277
  • [8] Insulation design of 400 KV transmission line towers
    Chanana, Anil
    Irrigation and Power, 1988, 45 (04): : 25 - 35
  • [9] Thor – a New Design of Overhead Transmission Line Towers
    Schmidt, Mark Kokborg
    Nielsen, Mogens G.
    Endahl, Brian
    Steenholt-Eliasson, Karl Emil
    ce/papers, 2019, 3 (3-4): : 403 - 408
  • [10] Comparative Study Of Metaheuristic Algorithms Using Knapsack Problem
    Sapra, Dikscha
    Sharma, Rashi
    Agarwal, Arun Prakash
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING (CONFLUENCE 2017), 2017, : 134 - 137