Robust design optimization for overhead power transmission line design
Abstract
Most practical design methods for overhead power transmission lines primarily rely on empirical formulas. This paper proposes a robust design–based two-stage optimization framework for overhead power transmission line design. In the first stage, corresponding to the design of experiments or experimental design , four control factors—namely conductor type, conductor size, span length, and pretension—and two noise factors—ambient temperature and wind speed—are considered, each at three levels. Three output responses—maximum sag, power loss, and life cycle cost—are evaluated. The control factors and noise factors are arranged in the inner and outer arrays , respectively, using a full factorial design. These arrays are then combined to form a full factorial L 81 crossed-array experimental design . In the second stage, desirability functions are employed to simultaneously minimize the three output responses. Finally, a comparative analysis of different desirability formulations is conducted, and based on the obtained results, the optimal design solutions for the overhead transmission line are identified.