TY - GEN
T1 - Optimization method for multi-factor tests of audible noise on UHVDC transmission lines
AU - Zhao, Penghui
AU - Yuan, Haiwen
AU - Liu, Chengxin
AU - Zhou, Hu
AU - Xu, Hai
AU - Zhang, Xiangdong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Audible noise has become an important issue affecting the planning and design of ultra-high-voltage direct-current (UHVDC) transmission lines. However, there are many factors affecting audible noise, and it is difficult to analyze every single factor in real tests. In order to optimize the experimental design, this paper selects 12 typical influencing factors of audible noise, uses the feature selection algorithm ReliefF to calculate the weight of each factor, and obtains five factors with high weight: transmission voltage, the number of splits, relative humidity, height above ground and environmental noise. Then, four factors are set to different levels, and nine groups of experiments are designed using the orthogonal test method to explore the appropriate levels minimizing the audible noise. The optimization method proposed in this paper could quantitatively analyze the influencing factors of audible noise, and determine the audible noise level through fewer tests, which provides a reference for the experimental design of audible noise and the design of UHVDC transmission lines.
AB - Audible noise has become an important issue affecting the planning and design of ultra-high-voltage direct-current (UHVDC) transmission lines. However, there are many factors affecting audible noise, and it is difficult to analyze every single factor in real tests. In order to optimize the experimental design, this paper selects 12 typical influencing factors of audible noise, uses the feature selection algorithm ReliefF to calculate the weight of each factor, and obtains five factors with high weight: transmission voltage, the number of splits, relative humidity, height above ground and environmental noise. Then, four factors are set to different levels, and nine groups of experiments are designed using the orthogonal test method to explore the appropriate levels minimizing the audible noise. The optimization method proposed in this paper could quantitatively analyze the influencing factors of audible noise, and determine the audible noise level through fewer tests, which provides a reference for the experimental design of audible noise and the design of UHVDC transmission lines.
KW - audible noise
KW - feature selection
KW - orthogonal test
UR - https://www.scopus.com/pages/publications/85146915551
U2 - 10.1109/ICIEA54703.2022.10006159
DO - 10.1109/ICIEA54703.2022.10006159
M3 - 会议稿件
AN - SCOPUS:85146915551
T3 - ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
SP - 1673
EP - 1677
BT - ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
A2 - Xie, Wenxiang
A2 - Gao, Shibin
A2 - He, Xiaoqiong
A2 - Zhu, Xing
A2 - Huang, Jingjing
A2 - Chen, Weirong
A2 - Ma, Lei
A2 - Shu, Haiyan
A2 - Cao, Wenping
A2 - Jiang, Lijun
A2 - Shu, Zeliang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022
Y2 - 16 December 2022 through 19 December 2022
ER -